JPH03201671A - Marker editing system for picture recorder - Google Patents

Abstract

PURPOSE:To improve accuracy for recognizing a marker and to enlarge the range of the marker to be recognized by setting a threshold value for marker edition by layers corresponding to color distribution such as the kind of the marker, and using the OR of the recognition output. CONSTITUTION:A picture data processing means 2 sets the deciding area of a marker color according to the plural pairs of threshold values as a color detection conversion part 6 so that the an edition processing can be executed based on the marker with the condition of deciding the marker color in any area. In such a way, the marker color can be detected according to the color distribution for each marker and the erroneous recognition of highlight gray can be prevented. The deciding area of the marker color hierarchizes the color distribution of the marker according to the type and the threshold value is set for each layer. Then, the markers are set by the threshold values correspond ing to opaque marker, low density marker, high density marker and marker with the close distribution of three primary colors. Thus, the threshold value set not to include the range of the highlight gray.

Description

[Detailed Description of the Invention] [Industrial Application Field] The present invention relates to an image recording device that reads markers and sets editing information using a pre-scan, reads a document using a main scan, and edits and records image data. Regarding marker editing method.

[Conventional technology]

A digital color copying machine includes an image reading unit that scans and reads a document, an image data processing unit that processes and edits the read image data, a recording unit that records the processed and edited image data, and an image reading, processing, and editing unit that processes and edits the image data.
It is equipped with a control means for controlling recording, and can perform various editing processes on the image data in the image data processing means. One of these is marker editing. In normal marker editing, first, a document in which a closed area has been written with a marker pen is read by pre-scanning, and the marked closed area is recognized. Then, specified editing contents such as trimming, masking, coloring, meshing, etc. are set for this closed area, and the image data obtained by reading the original by main scanning and performing the editing processing is recorded. Currently, marker editing is often used to add color to documents with a small number of colors, such as black-and-white documents, and the marker colors used include blue, pink, orange, and the like.

Marker editing as described above is basically an editing method by specifying a position, but in digital color copying machines, there is also editing using a data tablet as position specifying editing other than marker editing.

Compared to editing using data tablets, marker editing has advantages such as being able to specify arbitrary shapes, being easy to operate, and using multiple color markers to recognize colors as commands. are doing. On the other hand,
There are disadvantages in that the original may be damaged by the marker, the marker may not be recognized, or the original may be left unerased, and the original may be limited by the color of the marker.

An outline of a digital color copying machine equipped with the above-mentioned marker editing and other editing functions, which has been separately filed by the present applicant (for example, Japanese Patent Application No. 1-47088), will be described below.

FIG. 8 is a diagram showing an example of the configuration of an image data processing system of a digital color copying machine.

In Figure 8, IIT (image human power terminal) 1
00 uses a CCD line sensor to separate light into its primary colors B (blue), G (green), and R (red), reads a color original, and converts this into digital image data. The image output terminal 115 reproduces a color image by performing exposure with a laser beam and development. E between IrT100 and ■○T115
From ND conversion circuit 101 to IOT interface 110
constitutes an image data editing processing system (IPS; image processing system), which converts BlG and H image data into toner Y (yellow), M (magenta), C (cyan), and even K ( (black or ink) and outputs a toner signal corresponding to the developed color in each development cycle.

11T uses a CCD sensor to read 1 pixel for each of B, G, and H at a size of 16 dots/mm, and converts the data into 24 bits (3 colors x 8 pits);
256 gradations). The CCD sensor has 16 dots (B, G, and R filters are attached to the top)
It has a length of 300 mm with a density of 190. 5
Since scanning is performed at 16 lines/mm at a process speed of mm/sec, read data is output for each color at a rate of 15 Mpixels per second.

Then, at IIT, by log-converting the analog data of pixels of B and G%R, reflectance information is converted into density information, and further converted into digital data.

In IPS, color separation signals of B and G%R are input from IIT, and various data processing is performed to improve color reproducibility, gradation reproducibility, definition reproducibility, etc., and the development process color is processed. It converts the toner signal into on/off and outputs it to the IOT. END conversion (Equivalent Neutral)
The tral density (equivalent neutral density conversion) module 101 adjusts (converts) the gray-balanced color signal, and the color masking module 102 performs matrix calculations on the B%G1R signal to convert Y, M.

This is to convert it into a signal corresponding to the amount of toner C. The document size detection module 103 performs document size detection during briscanning and platen color erasing (frame erasing) processing during document reading and scanning, and the color conversion module 104 receives input from the area image control module. It performs color conversion specified in a specific area according to an area signal. And UCR(
Under Co1or Removal: Under color removal) & black generation module 105 generates an appropriate amount of K so as not to cause color turbidity, and depending on the amount, Y, MSC.
signal and YSM according to each signal of monocolor mode and 4 full color modes.

This gates the signal after removing the C undercolor. The spatial filter 106 is a nonlinear digital filter that has a function of recovering blur and a function of removing moiré, and is a TRC (Tone Reproduction Co., Ltd.) filter.
ntrol; Color tone correction control module 107 performs density adjustment, contrast adjustment, and contrast adjustment to improve reproducibility.
It performs negative/positive inversion, color balance adjustment, etc. The reduction/enlargement processing module 108 performs reduction/enlargement processing in the main scanning direction, and the reduction/enlargement processing in the sub-operation direction is performed by adjusting the scan speed of the document. The screen generator 109 converts the process color gradation toner signal into an on/off binary toner signal and outputs it, and this binary toner signal is sent to the ■○T115 through the IOT interface module 110. Output. The area image control module 111 has an area generation circuit and a switch matrix, and the editing control module has an area command memory 112, a color mode video switch circuit 113, a font buffer 114, etc., and is capable of various editing functions. It is for controlling.

The area image control module 311 has a configuration in which seven rectangular areas and their priorities can be set in the area generation circuit, and area control information is set in the switch matrix corresponding to each area.

The control information includes color conversion, color mode such as monochrome or full color, modulation selection information for photos and text, TRC selection information, screen generator selection information, etc., and includes a color masking module 102 and a color conversion module 104. , U.C.
It is used to control the R module 105, the spatial filter 106, and the TRC module 107. Note that the switch matrix can be set by software.

The editing control module reads a document that is not rectangular, such as a pie chart, and makes it possible to perform coloring processing such as filling in a specified area of any shape with a specified color. This is written into the plain memory, and the editing command for each point on the document is set using 4 bits from the 4 plane memories.

In the above-mentioned IPS, the color separation signal (B.

When converting G, R signals) to toner signals (Y, M%C, signals), it is important to consider how to adjust the color balance and to adjust the color to match the reading characteristics of IIT and the output characteristics of IOT. Problems include how to reproduce the image, how to adjust the density and contrast balance, and how to emphasize edges, blur, and moiré.

Therefore, in IPS, the 8-bit data (256 gradations) of the B and GSR color separation signals obtained by reading a document with the llT100 are input to the END conversion module 101, and after END conversion, they are converted to YSM, C, and (color masking). Processing using full color data is more efficient, such as document size, frame erasing, and color conversion processing, then undercolor removal and black generation, and toner signal X of the developing color is selected. However, spatial filters, color modulation, TRC
, scaling, etc., by processing developed color data, the amount of processing is reduced compared to processing with full color data, the number of conversion tables used is reduced to 1/3, and the number of types is reduced accordingly. This increases adjustment flexibility, color reproducibility, gradation reproducibility, and definition reproducibility.

In the case of full color (4 colors), after pre-scanning first detects the document size, editing area, and other document information, for example, first the toner signal X of the developing color is detected.
Each time a copy cycle in which the toner signal X of the developing color is set to Y and then a copy cycle in which the toner signal X of the developing color is set to M is executed in sequence, signal processing corresponding to four document reading scans is performed.

[Problem to be solved by the invention]

However, marker editing is greatly affected by the color distribution of the marker, its type, degree of deterioration, marking strength, and paper quality. For example, the color distribution of markers differs depending on the manufacturer, and also differs depending on the type of marker, such as fluorescent type or paint type.

Further, even if the same marker is used, the color tone when printing differs depending on the paper quality, such as PPC paper, coated paper, plain paper, etc. Furthermore, the marking density also varies depending on the darkness and deterioration of the marker when specifying the area and the number of overwritings. Therefore, a threshold value for marker recognition cannot be easily specified, and there is a problem that editing errors due to omission of recognition or copy defects due to erroneous recognition occur.

Figure 9 shows an example of the color distribution depending on the density of the marker when the paper quality is PPC paper, coated paper, or plain paper.
Figure 1) shows the range of Y, M, and C in 256 gradations from Company B (semi-transparent blue marker). As is clear from this figure, for example, when looking at Y, the number is 34 to 48 in the coated paper in figure (a), while it is 6 to 12 in the coated paper in figure (b). Similarly, looking at C,
In the same figure, the coated paper (low density) has a value of 40 to 78, while the PPC paper (high density) has a value of 116 to 15.
As shown in the figure 8, there is a large variation. The density changes depending on the degree of deterioration of the marker, the intensity of application, and whether or not there is overcoating, but in the case of Company A, since it is an opaque marker, there is almost no influence from these factors. Therefore, if you set a threshold so that all of these fall within the recognition range, for example, Y
The threshold is 0 to 54, the threshold of M is 0 to 50, and the threshold of C is 4.
The range will be something like 0-255. However, in the case of this threshold value, any color in the range of 40 to 50 will be included, so gray (highlight gray) will be recognized within this range. That is, in a halftone image of a black and white original, the highlighted gray portion of the original is mistakenly recognized as a marker. As a result, marker pickup/drop errors occur, and defects in highlighted areas become noticeable. That is, a marker is mistakenly recognized in the image data, and a portion of the marker is not recognized. Therefore, on the one hand, highlighted parts of image data are mistaken for markers and erased.
Alternatively, a problem arises in that areas other than the editing area are edited, and on the other hand, markers are output (recorded) without being partially erased.

Therefore, in order to eliminate this misunderstanding of highlight gray,
If the upper limit portion of M and the lower limit portion of C are compressed, a problem arises in that a pick-up error occurs and, for example, a thinned marker at an edge portion is not recognized and recorded in the main scan.

The present invention is intended to solve the above-mentioned problems, and its purpose is to reduce marker pickup mistakes and drop mistakes. Furthermore, another object of the present invention is to obtain high marker recognition accuracy even when markers with different color distributions are used.

[Means and operations for solving the problem] To achieve this, the present invention provides an image reading means 1 for scanning and reading a document, an image data processing means 2 for processing and editing the read image data, as shown in FIG. It includes a recording means 3 for recording processed/edited image data, and a control means 4 for controlling image reading, processing/editing, and recording, reads markers by pre-scanning, and sets editing information in the editing memory 9 of the editing section 8. This is a marker editing method of an image recording apparatus that reads a document by main scanning, edits and records image data, and the image data processing means 2 serves as a color detection conversion section 6 that determines the marker color using a plurality of sets of threshold values. The present invention is characterized in that a region is set, and editing processing based on the marker is performed on the condition that a marker color is determined in any region. By doing so, marker colors can be detected based on the color distribution of each marker, and misidentification of highlight clay can be avoided.

In addition, for the marker color judgment area, the color distribution of markers is stratified by type, and a threshold value is set for each layer. It is characterized in that it is set with a corresponding threshold value. Therefore, a threshold value that does not include the highlight gray range can be set.

〔Example〕

Examples will be described below with reference to the drawings.

FIG. 1 is a diagram for explaining one embodiment of the marker editing method of the image recording device according to the present invention, FIG. 2 is a diagram showing an example of dispersion of color distribution for each type of marker, and FIG. 3 is a diagram showing color distribution characteristics. FIG. 7 is a diagram showing another example of dispersion.

In FIG. 1, ite, llTl, IPS2, and l0T3 correspond to those explained earlier in FIG. 8, and the control device 4
is to control all of these. The color detection conversion 86 in the IPS2 corresponds to the color conversion module shown in FIG. 8, and the editing section 8 corresponds to the editing control module shown in FIG. therefore,
The image data processing section 5 includes an END conversion module, a color masking module, and a document size detection module, and the image data processing section 7 includes a UCR & black generation module, a spatial filter module, a TRC module, a reduction/enlargement processing module, and the like.

The editing memory 9 is for drawing a closed area using a marker and drawing an editing command for that area, and is made up of a plurality of brain memories as described above.

In the above configuration, the present invention provides a threshold value for the marker IJm in the color detection conversion unit 6, which is classified into opaque markers, markers with low density, markers with high density, and markers with a similar distribution of the three primary colors, and sets thresholds individually. is set, and the marker is recognized using one of the respective threshold values, and an example of its configuration is shown in FIG.

In FIG. 1(b), color specification registers 13 to 16 are as follows:
The color detection circuits 17 to 20 each hold the upper and lower thresholds of the stratified markers, and the color detection circuits 17 to 20 detect the markers by comparing the input image data with the thresholds set in the respective color specification registers. be. The OR gate 21 outputs the logical sum of the outputs of the color detection circuits 17 to 20 to the selector 11 as a marker detection signal. The converted color generating circuit 12 generates image data of a color to be converted and output, and when picking up a marker, generates image data for converting the marker to black and making the other colors white. Furthermore, when dropping a marker, image data for converting the marker to white is generated. The selector 11 switches and outputs the input image data and the image data generated by the conversion color generation circuit 12, and the switching effect is determined by the marker detection signal output from the OR gate 21 and the scan signal for prescan or main scan. controlled.

Switching of image data in the selector 11 basically differs between pre-scan and main scan.

That is, in pre-scanning, marker pickup is performed, only the markers are made black, and the editing memory 9 of the editing section 8 is stored.
When the marker detection signal output from the OR gate 21 is on, the black image data generated by the conversion color generation circuit 12 is output; Outputs the generated white image data.

Therefore, the input image data is essentially the same as being blocked. On the other hand, in the main scan, to drop markers, only the markers are made white, and the other human image data is ignored. Therefore, in this case, the white image data generated by the converted color generation circuit 12 is output only when the marker detection signal output from the OR gate 21 is on, and the input image data is output as is at other times.

Next, an outline of marker editing processing will be explained.

First, a plurality of sets of threshold values for marker recognition are set in the color detection conversion section 6, and settings are made so that when a marker is detected, black is output, and when no marker is detected, white is output (color conversion). Then, in the pre-scan, the image data processing R5 performs γ correction and color correction processing on the signal read in llTl, and the color detection conversion unit 6 performs comparison with a threshold value.

The pixels recognized as markers are then written into the editing memory 9 to form a closed area. In this closed area, a command is drawn according to one of trimming, masking, coloring, and meshing before the main scan starts, and at the same time, the marker conversion color of the color detection conversion unit 6 is set to white. In the main scan, the image data processing unit 5 performs marker drop processing on the image data that has been subjected to γ correction and color correction processing, and edits the image data within the closed area as specified by the command.

Figure 2 is a diagram showing examples of color distribution of 21 types of markers with different conditions such as manufacturer, marker type, paper quality, etc.
indicates the range required to cover all distributions. In this range, the shaded area in particular cannot be distinguished from the highlight gray area. Further, FIG. 3 is a diagram showing an example of dispersion for each color distribution feature. If the threshold values are set with the stratification as (a) to (d), for example, for the opaque marker in Fig. 3 (a), the density of Y=0 to 60, M=O to 60, C=85 to 255, and YM is For the same figure (B) where the concentration is low, Y=0~20 M=0~25 C=40~255 For the same figure (C) where the concentration of C is high, Y=0~55 M=0~ 55 C=70~255 For the same figure (a) where the distribution of YMC is close, Y
=20-40 M=10-45 C-50-255.

As is clear from the above threshold value setting example, each of the above threshold values set for each layer has a value such that highlight gray is not included as a recognition range. However, no matter what marker is used, it falls within the range of one of these thresholds, so by ORing the recognition outputs from each threshold, it is possible to extract the marker recognition signal excluding highlight gray. .

Next, a configuration example of a color conversion circuit that can be used in the color detection conversion circuit of the present invention will be shown.

FIG. 4 shows the circuit configuration of the color conversion LSI, FIG. 5 shows the configuration of the color detection section, FIG. 6 shows the circuit configuration of the color conversion section, and FIG. 7 shows the configuration of the priority circuit. FIG.

The color conversion circuit shown in FIG.
The comparison color (color to be converted), conversion color, and conversion flag are set from U), and the comparison color is detected using the three colors Y and M%C, and depending on whether the conversion flag settings are match color conversion or mismatch color conversion. Performs conversion processing to converted color. In other words, normally the color of the human image data is output as is, in the case of -defective color conversion, the converted color is output when a matching signal with the comparison color is obtained, and in the case of mismatch color conversion, on the contrary, the comparison color is output. If a matching signal is not obtained, the converted color is output. The comparison color is given with a fixed range for each value of YlM and C, and a match signal is generated on the condition that each value is within the range. Conversion colors can be set to a maximum of four colors using -defeat color conversion or mismatch color conversion.

In FIG. 4, the CPU interface 31 has a register, and the selection and setting of matching color conversion/mismatching color conversion is performed in the control register regarding the conversion color. The selection signal for matching color conversion/mismatching color conversion is ICCAS ICC.
B, ICCC, ICCD, and these bits include:
- "1" is set when executing losing color conversion, and "0" is set when executing mismatching color conversion. 4
color detection units 33A to 33D, and color conversion units 34A to 3
Each of the 4Ds has an internal register as shown in FIGS. 5 and 6, and colors to be compared and colors to be converted can be individually set from a control unit (CPU).

The color detection units 33A to 33D each have registers 41, 43, and 45 in which lower limit values are set for the three colors Y and M%C, and a register 42 in which upper limit values are set, as shown in FIG. .44.46, and the comparison color is set by the CPU. Then, these and the input image data are passed to the comparator 4.
Comparing 7 to 52, AND gate circuit 1! A53 is configured to output a coincidence detection signal of "1" on the condition that all three colors are between the upper limit value and the lower limit value.

The color converters 34A to 34D each have registers 61 to 63 that hold converted colors of YSM and C, respectively, as shown in FIG.
Data WR is written by the write signal NWE and read by the read signal NOE. Then, the AND gate 64 is controlled by the selection signal CLSEL to send out the converted color.

The priority circuit 35, as shown in FIG.
CCC and ICCD are inputted to the EXOR circuit 65, and when only one signal is "1", the AND gate 66 performs AND with the conversion color control signals CHAE, CHBE, CHCE, CHDE, and the priority processing gate circuit 67 gives priority. Process and convert processing signals CLSELA, BCOT, CC0TSDC
Send one of them in OT priority order.

Conversion color control signals CHAE, CHBE, CHCE.

CHDE is the command F15+ generated by the area designation circuit.
4 bits of ~FO+ are allocated.

The video data selector 36 outputs a conversion processing signal CLSEL.
A, BCOT, CC0T, and DCOT are all “0”
In this case, the input image data THY, THM% THC are output as they are, and if any of them is "1", the outputs of the corresponding color conversion units 34A to 34D (AYSAM, AC) are used instead of the input image data. , (BYSBM, BC), (C
Select and output (Y, CMSCC), (DY, DM, DC).

Each of the above color detection units 33A to 33D and color conversion units 34A to
Setting of internal registers in 34D is performed from the control device through the CPU interface 31.

As shown above, the color conversion control signal is “1” (high level)
When , color conversion processing is possible, and when it is "0" (low level), human image data is output as is without color conversion processing. In the color conversion process, when the detection signal becomes "1" in the matching conversion mode where the selection signal for losing color conversion/mismatching color conversion is "1", converted image data is output, and - the selection signal for losing color conversion/mismatching color conversion is output. When the detection signal becomes "0" in the mismatch conversion mode where the signal is "0", converted image data is output. In this case, when color conversion processes overlap at the same time, the converted image data with the highest priority is selected and output according to the priority order.

For example, settings are made to perform matching color conversion for colors A and B, and mismatching color conversion for colors C and D, and the respective converted color control signals C
It is assumed that commands F15+ to F12+ of the area designation circuit are assigned to HAE, CHBE, CHCE, and CHDE. Then, the commands F15+ to F12+ are ro
olo", only the conversion color control signal CHCE is "
1", others are "0", and the color conversion process in that area is only the mismatch color conversion of C color. In addition, if the commands F15+ to F12+ are "rllll", the color conversion process in that area will convert colors A and B into matching colors, and convert colors C and D into mismatched colors. F15+~F12+ is rl 001
In the case of J, the color conversion process in that area involves converting color A into a matching color and converting color C into a mismatching color.

In this case as well, there are cases where matching signals are output for A and C colors at the same time, cases where a matching signal is output from either one, and cases where no matching signal is output from either.

Next, the operation of each combination will be explained.

First, as a setting state, the lower limit value of each color is written in the registers 41.43.45 of the color detection units 33A and 33D, the upper limit value of each color is written in the register 42.44.46, and the color conversion unit 34A and 340 registers 61-63
A converted color of 7% M1C is written in each of the 7% M1C. Also,
- The selection signal ICCA for defeating color conversion/mismatching color conversion is “1”
, ICCD is set to "0".

Therefore, for example, if commands F150 to F12+ become "1001" in the area shown in FIG. 44, the converted color control signals CHAE and CHDE are r
lJ, CHBE and CHCE become "0". Then, depending on whether or not the input image data falls between the upper and lower limit values set in the registers of the color detection units 33A and 330, ■ the detection signals IDTA and ID of the color detection units 33A and 33D
If both TDs are "l", that is, the human image data falls between both upper and lower limits, only the top output of the AND gate 66 in FIG. 7 will be "1", and the converted signal will be CLSELA becomes "1". Therefore, the color converter 34A outputs converted color signals AY, AM, and AC, and the video data selector 36 outputs the converted color signals AYSA.
M.

AC is selected and sent.

■ Conversely, the detection signals IDTA of the color detection units 33A and 330
Assuming that both of
Only the bottom output of the AND gate 66 in the figure becomes "l". Then, since the outputs other than the bottom of the AND gate 66 remain "0", these inverted signals are manually inputted to the bottom AND gate of the priority processing gate circuit 67 through the inverting circuit. The AND condition of the gate is satisfied and only the conversion processing signal DCOT becomes "L". Therefore, the converted color signal DYSD is output from the color converter 34D.
M%DC is output, and the video data selector 36 converts the converted color signals DY and DM.

DC is selected and sent.

■ Also, the detection signal IDTA of the color detection unit 33A is “1”.
'', when the detection signal IDTD of the color detection section 33D is "0", both the top and bottom outputs of the AND gate 66 in FIG. 7 become "1". In such a case, as is clear from the circuit configuration shown in FIG.
In this case, the signal with higher priority is input to the lower AND gate through the inverting circuit, so the AND gate 66
When the top of CLSELA becomes "1", the 1 input of the AND gate below it becomes "0", and the conversion processing signal CLSELA
only becomes rl+. Therefore, similarly to the case (2), the converted color signal AY is output from the color converter 34A.

AM and AC are output, and the converted color signals AYSAM and AC are selected by the video data selector 36 and sent out.

■ Contrary to the example of ■ above, the detection signal ID of the color detection section 33A
When TA is "0" and the detection signal IDTD of the color detection section 33D is "1", all outputs of the AND gate 66 in FIG. 7 become "0". I straddles the conversion processing signal CLS
ELA%BCOTSCCOT and DCOT are both “
0'' and no converted color signals are output from the color conversion B54A to 34D, the human image data THYSTHM and THC are sent out as they are from the video data selector 36.

The above color conversion circuit is configured to be able to independently perform matching color conversion/mismatching color conversion by setting the conversion color, the color to be converted, and the conversion flag. Therefore, in marker editing, when the conversion color is set to 1 and the converted color is set to the threshold value of the marker at the time of Briscan, and the conversion flag is set to match conversion, the marker is converted to K and output. Therefore, it is sufficient to write this into the editing memory 9 by the editing section 8 shown in FIG. 1, and set the editing command within the closed area. In this case, the image data other than the marker is either cut by a color conversion circuit (for example, the video data selector 36), or converted to W with Y and MSC of 0 by color conversion that does not match the marker.
It can be configured to convert to . Then, when the conversion color is changed from K to W during main scanning, the marker is converted to white, so the marker is erased. Therefore, the image data of the document with the marker erased is output, and the editing section performs the editing process set in the editing memory on the image data of the marker area.

〔Effect of the invention〕

As is clear from the above description, according to the present invention, threshold values for marker editing are set for each layer corresponding to the color distribution of the marker type, etc., and the logical sum of the recognition outputs is used. It is possible to improve recognition accuracy and expand the range of markers that can be lff1liked. Therefore, it is possible to prevent misidentification due to differences in paper quality, manufacturers and types of markers used, etc. Moreover, it is possible to eliminate marker editing defects with a simple configuration without performing any special processing to prevent misidentification.

[Brief explanation of drawings]

FIG. 1 is a diagram for explaining one embodiment of the marker editing method of the image recording device according to the present invention, FIG. 2 is a diagram showing an example of color distribution for each type of marker, and FIG. 3 is a diagram for each color distribution characteristic. 4 is a diagram showing the circuit configuration of the color conversion LSI. FIG. 5 is a diagram showing the configuration of the color detection section. FIG. 6 is a diagram showing the circuit configuration of the color conversion section. The figure shows the configuration of the priority circuit, Figure 8 shows an example of the configuration of the image data processing system of a digital color copying machine, and Figure 9 shows an example of color distribution depending on paper quality and marker density. It is. l...IIT (image human power terminal), 2...
TPS (image processing system), 3... rOT (
image output terminal), 4...control device, 5 and 7
. . . Image data processing section, 6. Color detection conversion section, 8.
...Editing section, 9...Editing memory, 11...Selector, 12...Conversion color generation circuit, 13-16...Color specification register, 17-20...Color detection circuit, 21...・Orgate.

Claims (3)

[Claims] (1) Image reading means that scans and reads the original;
an image data processing means for processing and editing the read image data; a recording means for recording the processed and edited image data;
and a marker of an image recording device, which is equipped with a control means for controlling image reading, processing/editing, and recording, reads the marker by pre-scan to set editing information, and reads the original by main scan, edits and records the image data. In the editing method, the image data processing means sets a marker color determination area using a plurality of sets of threshold values, and performs editing processing based on the marker on the condition that the marker color is determined in any of the areas. A marker editing method for an image recording device characterized by comprising: (2) The marker editing method for an image recording apparatus according to claim 1, wherein the marker color determination area is characterized in that the marker color distribution is stratified by type, and a threshold value is set for each layer. (3) The marker editing method for an image recording apparatus according to claim 1, wherein threshold values are set corresponding to opaque markers, markers with low density, markers with high density, and markers with close distribution of the three primary colors.