Peak-valley finder process for scanned optical relative displacement measurements

Information

  • Patent Grant
  • 6345876
  • Patent Number
    6,345,876
  • Date Filed
    Thursday, February 3, 2000
    24 years ago
  • Date Issued
    Tuesday, February 12, 2002
    22 years ago
Abstract
A method and apparatus for automatic alignment of ink-jet printheads includes fitting measuring constructs to actual print data acquired form a print made using a given, predetermined, test pattern data set. Specific test patterns for use in automated alignment of ink-jet printheads are suited to providing a variety of printhead alignment information in a compact format. The test pattern data set location finding algorithm incorporates techniques for avoiding carriage-induced dynamic errors during automated alignment of ink-jet printheads.
Description




BACKGROUND OF THE INVENTION




1. Field of the Invention




The present invention relates generally to ink-jet printing and, more specifically to ink-jet pen alignment using test pattern analysis in a hard copy apparatus' self-test mode.




2. Description of Related Art




The art of ink-jet technology is relatively well developed. Commercial products such as computer printers, graphics plotters, copiers, and facsimile machines employ ink-jet technology for producing hard copy. The basics of this technology are disclosed, for example, in various articles in the Hewlett-Packard Journal, see e.g., Vol. 36, No. 5 (May 1985), Vol. 39, No. 4 (August 1988), Vol. 39, No. 5 (October 1988), Vol. 43, No. 4 (August 1992), Vol. 43, No. 6 (December 1992) and Vol. 45, No.1 (February 1994) editions. Ink-jet devices are also described by W. J. Lloyd and H. T. Taub in Output Hardcopy [sic] Devices, chapter 13 (Ed. R. C. Durbeck and S. Sherr, Academic Press, San Diego, 1988).




An ink-jet pen includes a printhead which consists of a number of columns of ink nozzles. The nozzles are employed by printhead drop generating devices (generally thermal, piezoelectric, or wave propagation types) to fire ink droplets that are used to create a printed dots on an adjacently positioned print media as the pen is scanned across the media (for convenience of description, all print media is generically referred to as “paper” hereinafter). Generally, the pen scanning axis is referred to as the x-axis, the print media transport axis is referred to as the y-axis, and the ink drop firing direction from pen to paper is referred to as the z-axis. Within the columns of nozzles, groups of nozzles, called primitives are used to form nozzle arrays grouped by ink color, e.g., four primitives within a column for cyan, yellow, magenta, or black ink (“CYMK”). A given nozzle of the printhead is used to address a given vertical column position on the paper, referred to as a picture element, or “pixel,” where each nozzle-fired drop may be only a few picoliters (10


−12


liter) in volume and the resultant ink dot only {fraction (1/600)}th-inch. Horizontal positions on the paper are addressed by repeatedly firing a given nozzle as the pen is rapidly scanned across the adjacent paper. Thus, a single sweep scan of the pen can print a swath of dots generally equivalent to the nozzle column height. Dot matrix manipulation is used to form alphanumeric characters, graphical images, and photographic reproductions from the ink drops. The print media is stepped in the y-axis to permit a series of scans, the printed swaths combining to form text or images.




In general, ink-jet hard copy apparatus arc provided with two to four pens; either a set of three single color pens, or a single pen with three colorant reservoirs and at least three primitives, and a black ink pen. It is also known to print composite black using color ink. Static pen, and hence printhead nozzle alignment, is a function of the mechanical tolerances of the scanning carriage mounts for the individual pens. Moreover, ink-jet writing systems with reciprocating carriages typically have inherent dot placement errors associated with the dynamics of carriage motion. Such errors are usually associated with vibrations and therefore are cyclical in nature. If printing with a constant carriage velocity, these errors will manifest themselves on the paper at regular spatial pitches across the width of the page. Thus, among other factors, the pitch of the error will be a function of carriage velocity.




One method for determining and correcting nozzle-firing algorithms for pen alignment error parameters is where a hard copy apparatus prints a test pattern and uses the test pattern to determine the pen alignment error parameters. [Note that nozzle firing manipulation via computerized program routines, “algorithms,” is a complex art in and of itself. While knowledge in that field is helpful, it is not essential to an understanding of the present invention which relates to printing error parameter derivations subsequently used by such nozzle firing algorithms.] Many such systems require the end user to inspect a variety of patterns visually and to select the pattern, and hence the hard copy apparatus settings, which are most appealing to that individual.




In U.S. Pat. No. 5,250,956, Haselby et al. use a test pattern for print cartridge bidirectional alignment in the carriage scanning axis; in U.S. Pat. No. 5,297,017, Haselby uses a test pattern for print cartridge alignment in the paper feed axis.




In U.S. Pat. No. 5,262,797, Boeller et al. disclose a standard pen plotter related method of monitoring and controlling quality of pen markings on plotting media in which an actual line plot is optically sensed across a selected point to make a comparison with a test line.




In U.S. Pat. No. 5,289,208, Haselby discloses an automatic print cartridge alignment sensor system.




In U.S. Pat. No. 5,448,269, Beauchamp et al. use a test pattern for multiple ink-jet cartridge alignment for bidirectional printing.




In U.S. Pat. No. 5,451,990, Sorenson et al. use specified test patterns as a reference for aligning multiple ink-jet cartridges.




In U.S. Pat. No. 5,600,350, Cobbs et al. teach multiple ink-jet print cartridge alignment by scanning a reference pattern and sampling the same with reference to a position encoder.




[Each patent listed above is assigned to the common assignee of the present invention. It is also known to use test patterns for testing and clearing of nozzles, testing ink quality, and for color correction; those functions are beyond the scope of the present invention and require no further explanation for an understanding of the present invention.]




Generally, large format ink-jet plotters use the strategy of using one block of nozzles from one column on one printhead as a reference. All other nozzles on every printhead are then aligned relative to this reference block.




There remains a need in the state-of-the-art for more accurate methodologies for aligning ink-jet printheads. There remains a need for automatic alignment of ink-jet printheads, that is, without the need for reliance on the user's visual acuity. There remains a need for techniques for avoiding carriage-induced dynamic errors during automated alignment of ink-jet printheads. There remains a need for test patterns for use in automated alignment of ink-jet printheads which are suited to providing a variety of printhead alignment information in a compact format.




SUMMARY OF THE INVENTION




In its basic aspects, the present invention provides a method of determining ink-jet printhead alignment offset, including the steps of:




printing a test pattern on a sheet of media, the test pattern providing a design of predetermined nominal shape and spacing parameters in accordance with a first data set;




acquiring a second data set representative of actual shape and spacing parameters of the test pattern from the test pattern on the sheet of media;




partitioning the second data set into a plurality of individualized second data sets selectively chosen from the pattern between located maxima and minima for measuring differential offset values evidenced in the second data set, the located maxima and minima determining an initial offset;




fitting a measuring construct to each of the individual individualized second data sets for determining an actual printhead alignment offset value for each of the individualized second data sets; and




calculating an actual printhead alignment offset value for each of the individualized second data sets using the initial offset in combination with comparison data representative of comparing the measuring construct and each the individualized second data set.




In another basic aspect, the present invention provides a computer memory for implementing an automatic alignment of an ink-jet printhead device in association with printing a test pattern on a sheet of media, the test pattern providing a design of predetermined nominal shape and spacing parameters in accordance with a first data set, comprising:




means for acquiring a second data set representative of actual shape and spacing parameters of the test pattern from the test pattern on the sheet of media;




means for partitioning the second data set into a plurality of individualized second data sets selectively chosen from the pattern between located maxima and minima for measuring differential offset values evidenced in the second data set, the located maxima and minima determining an initial offset;




means for fitting a measuring construct to each of the individual individualized second data sets for determining an actual printhead alignment offset value for each of the individualized second data sets; and




means for calculating an actual printhead alignment offset value for each of the individualized second data sets using the initial offset in combination with comparison data representative of comparing the measuring construct and each the individualized second data set.




In another basic aspect, the present invention provides a method for aligning ink-jet printhead devices in a hard copy apparatus having a printhead nozzle-firing means for directing ink-jet nozzle firing pulses, the method including the steps of:




upon changing at least one of the printhead devices or upon an end-user apparatus test mode implementation command, automatically printing on a print media a given test pattern from a first data set having test pattern objects of a given shape and spacing dimensions, the given test pattern including objects relevant to determining printhead device alignment offset values relative to the at least one of the devices;




automatically reading back printed test pattern information as a second data set;




partitioning the second data set into a plurality of subpatterns representative of printing in a predetermined orientation such that a plurality of sub-pattern offset values is represented for the printing in a predetermined orientation, including determining second data set subpatterns maxima and minima locations with respect to expected the first data set;




fitting a measuring construct to each of the subpatterns by determining linear regions of the second data set subpatterns with respect to the maxima and minima;




determining from the measuring construct a printhead device alignment offset value between a printed test pattern object actual position and a printed test pattern object expected position based upon the first data set; and




transmitting a final printhead device alignment offset value based upon the initial offset and the printhead device alignment offset value to the printhead nozzle-firing means.




It is an advantage of the present invention that it provides a unified method for measuring various systematic ink-jet printhead misalignment characteristics and parameters.




It is an advantage of the present invention that it provides an alignment correction factor having a greater resolution than previous methodologies.




It is another advantage of the present invention that an offset value correction as small as one-eighth of a printed dot diameter can be achieved.




It is another advantage of the present invention that it provides a computerized process which calculates alignment error values with minimal computational requirements.




It is a further advantage of the present invention that it provides a computerized, automated alignment error correction, requiring no visual perception assessment and comparison reassessment by the end-user of a variety of test patterns.




It is a further advantage of the present invention that it can be automatically implement upon a printhead change or user implemented, e.g., when changing print media.




It is an advantage of the present invention that it provides a test pattern plot that is quickly printed and analyzed using only one sheet of A-size paper.




It is an advantage of the present invention that it provides a test pattern plot which minimizes the need to print with one column of reference nozzles only.




It is an advantage of the present invention that it provides a test pattern plot wherein the printhead alignment process is less sensitive to defects in one particular reference block of nozzles.




It is another advantage of the present invention that it provides a test pattern which provides extensive data used to compensate for harmonic frequency carriage motion induced printing errors.




It is an advantage of the present invention that the addition of peak−valley determination allow the use of more data points to insure that inappropriate data from sources other than that of the detector is not used.




It is another advantage of the present invention that the addition of peak−valley determination adds the capability of efficiently and accurately parsing any of the possible data records that can be obtained from scanning patterns produced by black or color inks.




It is another advantage of the present invention that the addition of peak−valley determination improves the data set available for determining offsets between printheads.




It is an advantage of the present invention that a peak −valley determination is sensitive to the reflectance variation of colors between test pattern elements, thus self-scaling.




It is an advantage of the present invention that it automatically compensates for different signal swings.




It is an advantage of the present invention that sensor drift and bias variations are accounted for by the algorithm.




It is an advantage of the present invention that a peak−valley determination is sensitive to real time operating conditions of the test pattern detection mechanisms, again, self-scaling.




It is an advantage of the present invention that a peak−valley determination is self-adapting to signal swings associated with color hue shifts, and associated reflectance variance.




The foregoing summary and list of advantages is not intended by the inventors to be an inclusive list of all the aspects, objects, advantages and features of the present invention nor should any limitation on the scope of the invention be implied therefrom. This Summary is provided in accordance with the mandate of 37 C.F.R. 1.73 and M.P.E.P. 608.01(d) merely to apprize the public, and more especially those interested in the particular art to which the invention relates, of the nature of the invention in order to be of assistance in aiding ready understanding of the patent in future searches. Other objects, features and advantages of the present invention will become apparent upon consideration of the following explanation and the accompanying drawings, in which like reference designations represent like features throughout the drawings.











BRIEF DESCRIPTION OF THE DRAWINGS





FIG. 1

is a flow chart of a method in accordance with the present invention for determining ink-jet printhead alignment offset values using test pattern data.





FIG. 2

is a waveform depicting exemplary data acquisition in accordance with the method shown in FIG.


1


.





FIG. 3

is a waveform depicting acquired data sampling for determining an “initial offset” value in accordance with the method shown in FIG.


1


.





FIG. 4A

is a waveform depicting a trapezoidal waveform fit to clipped acquired data in accordance with the method shown in FIG.


1


.





FIG. 4B

is a graph showing exemplary relative position of trapezoid centers in accordance with the methodology shown in FIG.


4


A.





FIG. 4C

is a graph showing exemplary offset between adjacent test pattern figures in accordance with the methodology shown in

FIGS. 4A and 4B

.





FIG. 5

is a waveform depicting an alternative embodiment waveform measurement construct fit to acquired data in accordance with the method shown in FIG.


1


.





FIG. 6

is a waveform depicting another alternative embodiment waveform measurement construct fit to acquired data in accordance with the method shown in FIG.


1


.





FIG. 7

is a test pattern in accordance with the present invention, useful in accordance with the method shown in FIG.


1


.





FIGS. 8A through 8E

depict pattern variations for the test pattern in accordance with the present invention as shown in FIG.


7


.





FIG. 9

is a graph of sensor output vs. location under predetermined conditions, depicting the determining of each data maxima and data minima region of the waveform for determining extended linear regions and associated data thereof.





FIG. 10

is a graph of sensor output vs. location under predetermined conditions, depicting the determining of each data maxima and data minima region of the waveform for determining extended linear regions and associated data thereof.





FIG. 11

is a graph of sensor output vs. location under predetermined conditions.




The drawings referred to in this specification should be understood as not being drawn to scale except if specifically noted.











DESCRIPTION OF THE PREFERRED EMBODIMENT




Reference is made now in detail to a specific embodiment of the present invention, which illustrates the best mode presently contemplated by the inventors for practicing the invention. Alternative embodiments are also briefly described as applicable.





FIG. 1

represents a method


100


for determining printhead alignment offsets in accordance with the present invention. It is well known in the art that different print media—plain paper, special coated ink-jet paper, photographic quality paper, and the like—will react differently to the same ink. Using the pens and appurtenant printheads to be aligned, a test pattern is printed, step


101


, on the particular print medium that the end user intends to use currently. it is prudent to activate a test mode, as detailed hereinafter, for pen alignment whenever pens are changed. Specific test patterns will be discussed hereinafter; referring briefly to

FIG. 7

, it can be seen that a preferred embodiment test pattern


701


comprises generally a variety of bar patterns (while other more complex patterns may be employed within the scope of the invention, bar patterns will be used as an example). The nominal spacing and width of printed bars in a given test pattern employed by the hard copy apparatus' test mode operation is known, the details being stored in a computer memory.




Returning to

FIG. 1

, the test pattern is read, acquiring data for bar spacing and bar width, step


103


. The acquired data is stored, step


105


, in a computer memory. In the preferred embodiment, the acquired data is obtained optically such that the data are representative of the amplitude of reflected light from the test pattern bars and spaces; in the current embodiment, sampling is made spatially every {fraction (1/600)}th-inch (see e.g., Haselby '956, Haselby '017, Beauchamp '269, Sorenson '990, and Cobbs '350, supra, incorporated herein by reference; a preferred optical sensor is also disclosed in co-pending U.S. patent application Ser. No. 08/885,486 by Walkers assigned to the common assignee of the present invention).




The acquired data from an optical scan across the page width will be in an analog form depicted by

FIG. 2

(the actual waveform will naturally be a function of the resolution and sensitivity of the specific optical sensor employed). The analog reflectance data is processed via any known manner analog-to-digital conversion and digital signal processing techniques. Thus, the waveform


201


high data points of the sensor V


out


represent white spaces (high reflectivity); waveform


201


low data points represent color saturated regions of test pattern bars alternatingly printed using separate nozzle columns or primitives for which alignment compensation is to be determined. The exemplary waveform of

FIG. 2

therefore represents a row of twenty printed bar and space patterns. That is, if the printed bars alternate color, e.g., cyan and magenta, or same color using different primitives for a primitive-to-primitive offset test, the reflectivity will alternatingly vary in intensity. Furthermore, if all nozzles for a particular color ink are fired in a specific scan swath, intensity may still vary from bar-to-bar based upon the paper-ink reaction, e.g., causing a cockle which will affect reflected light readings. A goal of the present invention is to use the waveform to determine a true center, versus the given test pattern nominal center, of each bar; a comparison will then determine a related and precise printhead alignment offset.




A first data correction is made by eliminating any DC bias in the data, step


107


. Approximately an eight-cycle sample of data points is selected as shown in

FIG. 3

(as is known in the art, pulses off of the scanning pen carriage encoder providing the relative position of the sample points—actual implementation data sampling will be a function of encoder resolution) to ensure an appropriate average and the DC-offset subtracted. Specific implementations may use a different number of samplings depending on a specific statistical analysis employment related to the particular printhead operational design characteristics, processor memory, and computational budget requirements. The shifted data is shown in

FIG. 3

as waveform


301


. Referring again also to

FIG. 1

, a sine wave


303


is fitted to the shifted data sample


301


using a known manner digital signal processing “Golden Rule” search, step


109


(see e.g., Press, Flannery, Teukoisky & Vetterling,


Numerical Recipes in C, The Art of Scientific Computing,


copr. Cambridge University Press 1998, at pp. 293-296). The phase of this filled sine wave represents an “initial offset” within the sample window, viz. within this eight-cycles. In other words, a sine wave having a known frequency matching the nominal frequency expected of the known test pattern data frequency and printhead operation parameters is phase shifted to match the actual data. The phase shift relative position then becomes the “initial offset,” that is, where the test pattern bars begin on the plot relative to the expected position, e.g. an initial offset of ¼-dot width.




Acquired data also includes data which is outside the bar patterns, generally in the paper margins. In

FIG. 2

, this is represented by end regions


203


,


204


of the waveform


201


. The data for these regions, e.g. 80-300 data points, is deleted, step Ill, from the acquired data set


105


by subtracting the initial offset; region


205


then is the retained acquired data. The retained acquired data is partitioned, step


113


, into N-cycles, where N is the number of pattern objects, viz. a bar and white space, with, e.g., 180-digital data points forming a single cycle of the waveform


201


.




Alternatively, from the known design of the given printed test pattern


101


, a fairly accurate start of the data where partitioning, step


113


, is to be performed can be estimated. From this starting point, a localized data search can determine the local maxima and minima of all the test pattern bars; those points can then be used to partition the data accordingly.




The original waveform


201


is then clipped, step


115


, to remove any noise which will bias subsequent data processing steps used to determine “final offset” values, where final offset values or an averaged final offset value is then used by the nozzle-firing algorithm after the self test run is completed. Note that the peaks of the waveform


201


appear ragged such as at regions


207


and


209


. This may be due to paper cockle, paper lay, and the like factors, showing up prominently in the white regions of the test pattern and to a lesser extent in the ink saturated bottom regions. The minimum clipping amount should be to at least the maximum deviation from the peak/trough values; in this exemplary embodiment, clipping the peaks to about V


out


=4.7 and troughs at about V


out


=1.3.




Next, step


117


, a measuring construct is fitted to each clipped waveform


201


′ cycle in order to determine the actual center of each bar in the pattern.




In a first embodiment, using a known manner simplex non-linear minimization (see e.g., Press et al., supra, at pp. 305-307), a trapezoid waveform is fit to each wave form cycle, representing a test pattern bar and white space.

FIG. 4A

shows a fitted trapezoid waveform


401


and the clipped signal


201


′ of the retained acquired data for a single printed bar relative to adjacent white spaces, regions “a” and “a′.”




Thus, each trapezoid is a fit having the following parameters:




“a”=left top segment,




“b”=negative going slope,




“c”=middle bottom segment, and




“d”=positive going slope.




Note that the slopes are a more accurate fit by being fitted to the clipped waveform


201


′ because data due to peak/trough ragged edges in the full waveform


201


have been deleted and thus do not bias the computation of the slopes “b” and “d.” With the trapezoidal measuring construct, using the parameters “a-d,” the center of region “c” is determined, step


119


. For the twenty bar exemplary test pattern,

FIG. 4C

graphically depicts the relative position of trapezoid centers compared to an ideal where the center-to-center given test pattern distance should be ninety when one-hundred eighty data points are analyzed.




The final offset is calculated by subtracting the centers of each pair of adjacent bars. In the present exemplary data set there are twenty bars, or ten pairs, so the sum of the differences divided by ten will be returned as the final average offset value for that particular pattern of bars for use by the nozzle firing algorithm, step


121


.

FIG. 4B

is a plot to the pair differences in the exemplary embodiment with the average represented by the bold-line.




In other words, if a row of bars is partitioned into adjacent pairs, bar A


1


+bar B


1


, bar A


2


+bar B


2


, bar A


3


+bar B


3


, et seq., then errors due to misalignment would be calculated as:




 1


st


pair offset=(


B




1





A




1


)


−PS




d


  [Equation 1]






2


nd


pair offset=(


B




2





A




2


)


−PS




d


  [Equation 2]










N




th


pair offset=(


BN−AN


)


−PS




d


  [Equation N],






where PS


d


is the designed pattern spacing expected. The errors for all pairs of bars are averaged to arrive at the final average offset value:






final average offset value=Σ(pair offsets)÷N  [Equation 3].






Note that any single final offset of a pair could be used, but integrating toward an average using more data, namely from a full row of colored bar pairs, provides an average final offset value that will more accurately compensate for the cyclical errors. Since the errors are generally static, being related to the mechanical tolerances between the pens and the pen carriage, it can be assumed that the final offset is the same across a full scan width. The offset between adjacent bars will have a give standard deviation from the mean. Note also that with adequate memory and data processing capability, each bar pair offset data could be used individually by the nozzle-firing algorithm as a real time offset value during each relative position phase of a swath scan.




For bidirectional scanning the right-to-left offset will be the same absolute value with opposite delay imposed by the nozzle-firing algorithm.




Alternative calculations can be employed. For example, a determination of the location of the midpoint between successive alternate bars, A


1


-to-A


2


, is obtained from the acquired data. The location of the center point for the intervening bar, B


1


, is obtained and compared to the A


1


-to-A


2


midpoint. Since the pitch of the bars is theoretically constant across the whole row, the difference between these two locations is the error in location for that intervening bar. Thus, the formula for the first error values would be:






error value 1


st


pair=(midpoint A


1


and A


2


)−midpoint B)  [Equation


4


],






et seq.




Again, the calculated error values are then averaged for the test pattern row or column of bar pairs. Note that this calculation is not dependent on an assumed design theoretical spacing and therefore immune to certain types of systematic errors, such as encoder scaling problems. For example, if the pitch on the carriage position encoder strip were flawed such that it scaled all distances up by ten-percent, all of the errors calculated with the PS


d


factors would reflect this error in spacing between bars in each pair being compared thereto. However, generally B-bars are substantially half way between A-bars of the pattern, therefore the second formula should be effective at determining true printhead misalignment.




It should be noted that the process of the present invention provides a methodology which can be used to solve a variety of alignment errors, namely primitive-to-primitive, column-to-column, pen-to-pen, and the like.





FIG. 7

demonstrates a test pattern


701


in accordance with the present invention for an ink-jet printer which can be quickly printed with color and black inks and analyzed on one sheet of A-size paper


700


; the actual plot is in CYMK inks, but for purpose of this patent application the color of each bar of the test pattern is depicted by using the appropriate letter for each color ink, viz., C for cyan/blue, Y for yellow, M for magenta, and K for black. The layout of the plot of this test pattern allows each printhead to be aligned independently and for four printheads to be aligned to each other. Thus, this plot provides pen-to-pen horizontal and vertical alignments, printhead nozzle column-to-column alignment, scan axis directionality shape (shape of the dots on the page when fired from one supposedly straight column of nozzles) compensation alignment, rotation about the z-axis of either the die within the printhead or the printhead within the carriage (also referred to as “theta-z”), and bidirectional printing alignment.




Regions


703


,


703


′,


703


″ and


705


are printed in order to fire all nozzles to clear any ink clogs, air bubbles, and the like, which cause nozzle firing problems as is well known in the art, and to bring thermal ink drop generators up to operating temperature. Regions


103


,


703


′,


703


″ and


705


generally are not used in the compiling of acquired test pattern data (

FIG. 1

, step


103


). Region


707


demonstrates a test pattern region where offset values as discussed herein with respect to

FIG. 1

are determined which are particularly related to pen-to-pen alignment in the horizontal, x-axis, scanning, using magenta as the reference nozzle set, viz. magenta to cyan in the first row, magenta to yellow in the second row, and magenta to black in the third row. This reference region


707


exercises the magenta printhead only approximately five-percent more than the other regions of the plot, generally all four pens are exercised equally, making the alignment process less sensitive to defects in one particular reference block of nozzles.




Region


709


provides a series of horizontal bars, vertically aligned. Printing and analyzing region


709


in accordance with the methodology as shown in

FIG. 1

will provide an alignment offset in the paper-path direction, or y-axis.




Region


711


provides full column nozzle firing from pen to determine offsets in column-to-column spacing nozzle sets firing the same ink but from different nozzle columns. Therefore, a row of color bars is printed in each of the colors, cyan, magenta, yellow, and black, again each designated by capital letters within the bars of FIG.


7


. Every other bar of a row is printed with a different column, firing the full column for that color ink. Accuracy will be dependent on the exact scanning device implementation. Thus, the number of bars in a row can be tuned, or optimized by experimentation, to provide sufficient signal strength results and appropriate statistical averaging.




Note that during scanning of the printed rows, the scanned bars also can be vertically partitioned to relate offset values column-to-column for different nozzle sets within a primitive. The calculated related offsets are then transferred to the nozzle firing algorithm accordingly.




Region


713


of the plot is similar to region


711


, however the bars are printed to determine primitive-by-primitive offset values. A column of dots forming a color bar printed from different primitives is intended to be identical to a bar printed by firing all nozzles. However, in manufacture, the nozzles in a column are not always perfectly aligned but are given a column alignment tolerance. During firing, individual nozzles may also have trajectory variations. In a pair of printed bars of the test plot region


713


, one bar is printed as in region


711


by firing all nozzles in both columns and the other bar of region


713


is printed in sections, stepping the paper a quarter column per scan; in other words every other column requires “N


p


” passes, where N


p


=number of primitives in the printhead for that color ink. One primitive set is used to print every other bar during the N


p


passes, forming a full bar. The primitive set used to print the sectioned alternating bars thus becomes a reference position. The scanning and calculation of offset then forms a reference value for the offset between the primitive used as the reference and the other primitive sets.




Region


715


comprises a row of each color set and the pattern is repeated. Every other bar is printed in the opposite scanning direction to determine bidirectional printing offset values. A repetition is provided for each design scanning speed, or a pattern is printed at the slowest scanning speed and highest scanning speed and the offset values assumed to have a linear relationship if other scanning speeds are provided in the hard copy apparatus.




Note also that a partial test pattern print can be employed when a pen change involves any number less than all four printheads, e.g., changing only a cyan pen in a four pen system. Once a new printhead is installed and identification of the change recognized, the print and scan process can be automatically altered to only print and scan the sections of the test pattern which is relevant to the printhead that has been changed. In this example, the print and scan process time should be reduced to approximately one-quarter of the full test cycle.




To summarize, the automated alignment system of the present invention provides a printing of an alignment pattern which is scanned and analyzed to determine alignment correction factors. As shown in the test plot of

FIG. 7

, the alignment patterns typically consist of repetitious pairs of colored bars or blocks—or other geometric patterns that can be easily analyzed or which fits the particular need for specific data in a specific hard copy implementation—and the process measures and calculates the offsets between the bars of each pair with differences being related to different alignment aspects, e.g. vertical, y-axis, alignments, horizontal, x-axis, alignments, and perpendicular ink drop firing, z-axis, alignments. However, in a worst case scenario for carriage-induced dynamic errors, problems will arise if the spacing of the bars is equal to half the pitch of the dynamic error. In this scenario, the first bar of each pair lies on the “high” spot of the vibration-induced motion causing a drop placement error while the second bar lies 180-degrees out-of-phase on the “low” spot of the vibration-induced motion. When such is the case, the carriage-induced dynamic error is inadvertently built into the test pattern. Such “harmonic” or other “beat frequency” errors would be added on top of the signal for the true pen alignment parameter that is supposed to be measured. Hence the resulting alignment offset value calculated would be flawed. A number of techniques for altering a test pattern for avoiding inadvertent built-in test pattern error are shown in

FIGS. 8A through 8E

.





FIG. 8A

demonstrates a test pattern for averaging offset measurements over a plurality of cycles. If the frequencies of the two inputs—the dynamic carriage-induced alignment error and the color block spacing—do not match but still create an error at some beat frequency, the offsets measured across several cycles of the beat frequency average out the error effects. The repeating pattern of

FIG. 8A

shows a pattern


801


of repeated cyclic alternating color blocks where the printed pitch, “P,” is matched to the projected vibration frequency of the carriage actually measured or based upon mechanical design projections.





FIG. 8B

demonstrates a test pattern


802


which will detect if block print pitch is in fact half that of a dynamic carriage-induced error. Skipping half a block print cycle, namely between blocks


802


′ and


802


″, in the middle of the row of the block pattern


802


will cause the blocks to reverse with respect to carriage row cycles. That is, the error offset value for one-half of the row will be the opposite of the error offset value for the other half and can be averaged out in the final offset value.





FIG. 8C

depicts a test pattern


803


in which the block cycle spacing—P


1


, P


2


, P


3


—is varied along the row. When the gaps between each pair of colored block are varied rather than constant, repeated measurement will take place at varying locations relative to the dynamic carriage effects.





FIG. 8D

depicts a test pattern


804


in which the block cycle spacing is set to avoid known dynamic carriage-induced errors. When the frequency of the dynamic carriage-induced at a particular print speed, or speeds, is well characterized, the spacing of the printed blocks is set for a different frequency.





FIG. 8E

demonstrates the use of a block pattern


805


as a reference row. A reference row of blocks is printed with all the same set of nozzles from the same printhead. The measured spacing between the two members of each block pair should be consistent, i.e. the frequency of the blocks is known by design. If the measured spacing deviates from the intended spacing, the error is due to a systematic problem such as dynamic carriage-induced vibration or paper-to-pen irregularities, e.g. cockle, non-flat positioning on the platen, and the like. The recorded errors in the reference row are subtracted from subsequent measurements of printhead alignment patterns to normalize the resultant calculations.




While

FIG. 7

does not incorporate any of the FIGS.


8


A-


8


E techniques, it is intuitively obvious that one or more of such spacing irregularities can be incorporated in the specific regions of the page set.




In a second embodiment,

FIG. 5

, of the method for determining offset values (

FIG. 1

, step


117


), an alternate measuring construct is employed to determine the true center of each bar, step


119


, and, hence, the final average offset value, step


121


. The actual data waveform


201


′ is clipped, but to a greater extent than that used in the trapezoidal waveform fit demonstrated by FIG.


4


. For the present exemplary, the actual data is clipped (dashed lines


500


and


501


) at about V


out


=4.25 and 1.75 to ensure the data is being looked at where the slopes b′ and d′ are substantially linear. Then to determine the center of a color bar, the intersection


502


, least-squares linear fit lines


503


,


505


to the data and projections of slope is used to determine the center


507


.




In a third embodiment,

FIG. 6

, another alternate measuring construct is employed to determine the true center of each bar and, hence, the final average offset value. From the given test pattern, the theoretically ideal bar widths and spacings are known. An ideal test bar measuring construct


601


is used, having a width, “W,” from the design parameters. A least-squares linear fit lines


503


,


505


to the data and projections of slope is again used with the clipped (dashed lines


500


and


501


) actual data. The ideal test bar measuring construct


601


is “dropped” (arrow


603


) to find the intersection, data match points, of each end of the construct with the fit lines


503


,


505


. The location of the midpoint


605


of the construct


601


at this match is then used to calculate the offset value for the bar in question.




The present invention provides an automatic, impartial, test pattern printing and read-back data analyzing to determine printhead alignment offset values that can then be employed by a nozzle-firing algorithm to correct for printhead alignment errors which would otherwise cause errors in printing a given dot matrix pattern. Using a single page test pattern which incorporates a variety of alignment data in all three printing axes provides a fast, economical mechanism for applying corrections to improve the print quality of subsequent print outs. The present invention may be implemented in hardware or software using known manner computer memory devices.




In parsing data records from the pen alignment sensor device, overall signal drift caused by paper shape and ambient lighting and alternating signal swing variation caused by the difference in response of the sensor to different color inks, contribute to peak signal (again being white paper reflectance) variations (“PEAK Δ”) and valley signal (color print reflectance) variations (“VALLEY Δ”) as shown in

FIG. 2

, where the valleys are dependent on the reflective/absorptive properties of the printed bars and the color of light used by the sensor. As can be seen in

FIGS. 5 and 6

, the only data being used is that located between those preset levels lines


500


,


501


used to develop a fit. The preset high-low range is a conservative data band because it is known that different colors, hue shifts, sensor signal swing shifts, and ambient lighting all effect data gathering. That is, significantly less data is used than the acquired data as shown in

FIGS. 2 and 3

. In other words, the range of signal data relied on is a conservative fraction of the full range from the minimum level valley to the maximum level peak to ensure no inappropriate data is used. Yet, the quality of the location estimate for calculating offsets is dependent on the selection of the data segment used for the line


503


,


505


fit of the process as shown in

FIGS. 5 and 6

. It is clearly desirable to maximize the number of data points to obtain the best fit which will determine the displacement measurement between bars—that is, the “FINAL OFFSET” (

FIG. 1

,


121


) and, hence, between printheads for the ink drop firing algorithm to use.




In order to extend the number of data points used to calculate FINAL OFFSET, a peak−valley finder algorithm in accordance with the present invention is used prior to the fitting the measuring construct (

FIG. 1

, step


117


) to maximize the useful data and improve the accuracy of the fit. Again using

FIG. 8A

(or any alternating printed element from two sets of printheads or from two nozzle sets of different primitives) as an exemplary test pattern,

FIG. 9

(a variant of FIG.


2


), is a graph of sensor output versus location.




The raw data, as in

FIG. 2

, has been filtered to remove high frequency components and noise. The test pattern data itself provides nominal pattern element to pattern element spacing, edge-to-edge or center-to-center, a given distance “T.” Another given is the known mechanical tolerances from printhead-to-printhead (or primitive-to-primitive) of any particular implementation. Therefore, a data search window construct can be based on those given values, a range “w.” It will be recognized by those skilled in the art that the smaller the required search window, the faster the algorithm process.




From the acquired data (

FIG. 1

, step


105


), a first local minimum value, data point


901


, is located and recorded. Then, a local maximum value, data point


902


, that corresponds to the white space between the first and second printed bars


801


-


1


,


801


-


2


as shown in

FIG. 8A

is located and recorded. Note that the local maximum value associated with the transition from the edge of the page to the first printed pattern is not used for the first local maximum value determination. It has been found that stray light from outside the nominal field of view of the optical sensor can affect the sensor readings, but that stray light has significantly less effect within the test pattern than at the margins between the edge of the paper and the first bar of the pattern. Thus, in terms of the graph of

FIG. 9

, note that the sensor output is at approximately


800


counts toward the edge of the paper—between locations


4300


and about


4375


—but that within the pattern—locations greater than about


4390


—peaks are at about


760


counts or less. Thus, for the first peak data, namely the nominal center of the first white space between the first two test pattern bars


801


-


1


,


801


-


2


, point


902


at location ˜


4485


is selected. The maximum value is projected back, dashed line


904


, on the waveform to determine the position of the first bar


801


-


1


,


801


-′ with respect to the edge of the paper, namely at location ˜


4390


. The projected back first maxima location compared to the expected first bar edge


801


-


1


′ from the given test bar data provides an initial offset.




The position of point


903


is calculated or assumed to be the location at [x, f(x)] where x is one waveform trough distance to the left of point


902


(x=x


902


−T). It is necessary to fix point


903


as a “dummy maximum” so line-fitting can be performed for the first trough. In other words, point


903


not a searchable maximum data point because there is no signal up-swing at that position; the lack of signal up-swing meaning that there is no “peak shape” at that point in the waveform (no peak shape exists to the left of the first trough because this area represents the unprinted margin to the left of the first printed element of the test pattern). Without such a peak, it cannot be guaranteed that an appropriate maximum will be found within the maxima search window to the left of the first trough.




Knowing the frequency of the waveform (

FIG. 2

or


9


), the rest of the printed pattern peaks and valleys can be found by shifting a search window


1001


by the nominal shift “T” as shown in FIG.


10


. Knowing points


901


-


903


, a search window of width “w” is applied to data about the nominal shift “T” regions to determine each exact minima and maxima. Knowing these data points as related to location, data parsing is then extendable to more of the raw data set.




The data parsing, step


113


,

FIG. 1

, for the later line fitting algorithm, step


117


, is then based on the location and the values of the adjacent exact minima and maxima. Because of the ability to find the actual wave form peaks and valleys, it should be recognized at this step that there is no longer the necessity of shifting data for DC offsets (

FIG. 1

, step


107


, supra), fitting a theoretical sine wave (step


109


), and deleting data outside the test pattern (step


111


).




As shown in

FIG. 11

, the elimination of non-linear data, or “clipping” step


115


, can be achieved much closer to the valley or peak, than the preset levels


500


,


501


(compare also FIGS.


5


and


6


)—e.g., for the valley at 400 counts versus ˜490 counts, or for the peak at ˜735 counts versus ˜650 counts, thus adding significant data for fitting the construct, step


117


, and thereby greatly improving the FINAL, OFFSET calculation, steps


119


and


121


.




The foregoing description of the preferred embodiment of the present invention has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form or to exemplary embodiments disclosed. Obviously, many modifications and variations will be apparent to practitioners skilled in this art. Similarly, any process steps described might be interchangeable with other steps in order to achieve the same result. The embodiment was chosen and described in order to best explain the principles of the invention and its best mode practical application, thereby to enable others skilled in the art to understand the invention for various embodiments and with various modifications as are suited to the particular use or implementation contemplated. It is intended that the scope of the invention be defined by the claims appended hereto and their equivalents.



Claims
  • 1. A method of determining ink-jet printhead alignment offset, comprising the steps of:printing a test pattern on a sheet of media, said test pattern providing a design of predetermined nominal shape and spacing parameters in accordance with a first data set; acquiring a second data set representative of actual shape and spacing parameters of said test pattern from the test pattern on the sheet of media; partitioning said second data set into a plurality of individualized second data sets selectively chosen from said pattern between located maxima and minima for measuring differential offset values evidenced in said second data set, said located maxima and minima determining an initial offset; fitting a measuring construct to each of said individual individualized second data sets for determining an actual printhead alignment offset value for each of said individualized second data sets; and calculating an actual printhead alignment offset value for each of said individualized second data sets using said initial offset in combination with comparison data representative of comparing said measuring construct and each said individualized second data set.
  • 2. The method as set forth in claim 1, the step of partitioning comprising:locating data maxima and minima by determining a first data minima of said second data set relative, determining a first data maxima following said first data minima, finding a data point of said second data set equal to said first data maxima and an equivalent waveform location prior to said first data minima, using said equivalent waveform location as an initial offset value, and determining each data maxima and data minima region of said waveform for determining extended linear regions and associated data thereof.
  • 3. The method as set forth in claim 1, the step of acquiring a second data set comprising the steps of:optically scanning individual regions of said test pattern for variations in reflectance across said regions, converting analog reflectance values into a digital data set, and storing said digital data set in a computer memory as said second data set.
  • 4. The method as set forth in claim 1, the step of calculating further comprising the steps of:determining relative position of centers of each measuring construct of each of said individualized second data sets, and comparing said relative position to expected position based upon said first data set.
  • 5. The method as set forth in claim 1, the step of calculating further comprising the step of:averaging actual printhead alignment offset values calculated for each of said third data sets and selecting said average as said actual printhead alignment offset value.
  • 6. The method as set forth in claim 1, the step of calculating further comprising the step of:selecting a representative one of said individualized second data sets printhead alignment offset value as said actual printhead alignment offset value.
  • 7. The method as set forth in claim 1, the step of fitting a measuring construct further comprising the step of:reducing each said individualized second data sets to provide data representative of linear regions of reflectance data for each of said individualized second data sets.
  • 8. The method as set forth in claim 7, the step of fitting a measuring construct to said data representative of linear regions further comprising the step of:fitting a trapezoidal waveform construct to said data representative of linear regions.
  • 9. The method as set forth in claim 7, the step of fitting a measuring construct to said data representative of linear regions further comprising the step of:determining relative position of intersection of linearly fit extension lines to said linear regions, said relative position of intersection being determinative of true third data set center relative to said first data set.
  • 10. The method as set forth in claim 7, the step of fitting a measuring construct to said data representative of linear regions further comprising the steps of:fitting an individual test pattern object having a known width and center point based upon said first data set between linear regions, and determining relative position of said center point, said relative position of said center point being determinative of true individualized second data set center relative to a nominal center expected of said first data set.
  • 11. The method as set forth in claim 1, further comprising the step of:said step of printing including printing a repeating pattern of test objects.
  • 12. The method as set forth in claim 11, the step of calculating further comprising the step of:determining a midpoint between successive alternate test objects.
  • 13. The method as set forth in claim 12, said step of determining a midpoint comprising the further steps of:determining a center point for an intervening test object between said successive alternate test objects of an object triad, determining a center point for each of said successive alternate test objects of said object triad, determining an offset error value by a calculation in accordance with the formula error value triad1=(center point A1+center point A2)−center point B), where A1 and A2 are the successive alternate test objects and B is the intervening test object of an object triad.
  • 14. The method as set forth in claim 11, said step of calculating comprising the further step of:said individualized second data sets being pairs of said objects, said actual printhead alignment offset value is determined by calculation in accordance with the formulae 1st pair offset=(center point B1−center point A1)−PSd, 2nd pair offset=(center point B2−center point A2)−PSd, throughNth pair offset=(center point BN−center point AN)−Psd, where A is a first object in a pair, B is a second object in a pair, PSd is the test pattern spacing, and N is the number of pairs in a second data set under analysis.
  • 15. The method as set forth in claim 14, further comprising the step of:errors for all pairs of bars are averaged to arrive at the final average offset value by calculation in accordance with the formula final average offset value=Σ (pair offsets)÷N.
  • 16. A computer memory for implementing an automatic alignment of an ink-jet printhead device in association with printing a test pattern on a sheet of media, said test pattern providing a design of predetermined nominal shape and spacing parameters in accordance with a first data set, comprising:means for acquiring a second data set representative of actual shape and spacing parameters of said test pattern from the test pattern on the sheet of media; means for partitioning said second data set into a plurality of individualized second data sets selectively chosen from said pattern between located maxima and minima for measuring differential offset values evidenced in said second data set, said located maxima and minima determining an initial offset; means for fitting a measuring construct to each of said individual individualized second data sets for determining an actual printhead alignment offset value for each of said individualized second data sets; and means for calculating an actual printhead alignment offset value for each of said individualized second data sets using said initial offset in combination with comparison data representative of comparing said measuring construct and each said individualized second data set.
  • 17. The computer memory as set forth in claim 16, said means for calculating an actual printhead alignment offset value further comprising:means for determining relative position of centers of each measuring construct of each of said individual individualized second data sets, and means for comparing said relative position to expected position based upon said first data set.
  • 18. A method for aligning ink-jet printhead devices in a hard copy apparatus having a printhead nozzle-firing means for directing ink-jet nozzle firing pulses, the method comprising the steps of:upon changing at least one of said printhead devices or upon an end-user apparatus test mode implementation command, automatically printing on a print media a given test pattern from a first data set having test pattern objects of a given shape and spacing dimensions, said given test pattern including objects relevant to determining printhead device alignment offset values relative to said at least one of said devices; automatically reading back printed test pattern information as a second data set; partitioning said second data set into a plurality of subpatterns representative of printing in a predetermined orientation such that a plurality of sub-pattern offset values is represented for said printing in a predetermined orientation, including determining second data set subpatterns maxima and minima locations with respect to expected the first data set; fitting a measuring construct to each of said subpatterns by determining linear regions of said second data set subpatterns with respect to said maxima and minima; determining from said measuring construct a printhead device alignment offset value between a printed test pattern object actual position and a printed test pattern object expected position based upon said first data set; and transmitting a final printhead device alignment offset value based upon said initial offset and said printhead device alignment offset value to said printhead nozzle-firing means.
  • 19. The method as set forth in claim 18, said step of automatically printing further comprising the step of:printing only given test pattern objects relevant to determining final printhead device alignment offset values only relative to a changed printhead device.
  • 20. The method as set forth in claim 18, said step of automatically reading back printed test pattern information further comprising the step of:optically scanning said pattern such that said second data set is representative of a positional waveform related to reflectance values of alternating test pattern objects and intervening black spaces between said objects.
  • 21. The method as set forth in claim 20, said step of fitting a measuring construct comprising the further step of:fitting a measuring construct to said waveform such that a center point of said construct measured over a single period of said waveform is indicative of actual relative center position of a printed object on said print media of said second data set relative to an expected relative center of said printed object based upon said first data set.
  • 22. The method as set forth in claim 18, further comprising the step of;for determining bidirectional scanning axis offset values, using a determined left-to-right printhead device alignment offset of same absolute value with opposite delay imposed by the nozzle-firing means for right-to-left scanning of said printhead device.
RELATED APPLICATIONS

The present application is a continuation-in-part of U.S. patent application Ser. No. 09/263,594, filed on Mar. 5, 1999, for an Automated Ink-Jet Printhead Alignment System. The present application is related to U.S. patent application Ser. No. 09/263,962, filed on Mar. 5, 1999 for a Test Pattern Implementation for Ink-Jet Printhead Alignment.

US Referenced Citations (2)
Number Name Date Kind
5534895 Lindenfelser et al. Jul 1996 A
6234602 Sato May 2001 B1
Foreign Referenced Citations (2)
Number Date Country
1034936 Sep 2000 EP
1034939 Sep 2000 EP
Non-Patent Literature Citations (2)
Entry
IBM Technical Disclosure Bulletin, vol. 21, No. 7, “Print head alignment diagnositc routine”, Dec. 1978, pp. 2696-2697.
British Search Report dated Apr., 2001.
Continuation in Parts (1)
Number Date Country
Parent 09/263594 Mar 1999 US
Child 09/496745 US