JPH06160298A - Automatic color tone deciding method - Google Patents

Automatic color tone deciding method

Info

Publication number
JPH06160298A
JPH06160298A JP4313275A JP31327592A JPH06160298A JP H06160298 A JPH06160298 A JP H06160298A JP 4313275 A JP4313275 A JP 4313275A JP 31327592 A JP31327592 A JP 31327592A JP H06160298 A JPH06160298 A JP H06160298A
Authority
JP
Japan
Prior art keywords
color
value
printed matter
evaluation
calculated
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP4313275A
Other languages
Japanese (ja)
Other versions
JP3140226B2 (en
Inventor
Katsuyuki Tanimizu
克行 谷水
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nippon Telegraph and Telephone Corp
Original Assignee
Nippon Telegraph and Telephone Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nippon Telegraph and Telephone Corp filed Critical Nippon Telegraph and Telephone Corp
Priority to JP04313275A priority Critical patent/JP3140226B2/en
Publication of JPH06160298A publication Critical patent/JPH06160298A/en
Application granted granted Critical
Publication of JP3140226B2 publication Critical patent/JP3140226B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Landscapes

  • Inking, Control Or Cleaning Of Printing Machines (AREA)
  • Spectrometry And Color Measurement (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

PURPOSE:To decide defect due to different color tone on a scale corresponding to the human sense of color difference through a simple constitution by determining a quantitative value for multi-stage evaluation using the weight of color region obtained through multi-stage evaluation of a visual inspector and measurement of color difference. CONSTITUTION:Color tone decision result of an inspector, chromaticity values measured 130 at a plurality of specified points of a printed matter 101, and a watching point in one color screen of a printed matter 140 to be inspected are inputted as three- dimensional address, for M sheets of printed matter (sample) provided for determining decision reference, to a quantitative decision reference calculating section 111 where quantitative values, color tones, and quantitative evaluation values of defective color tone are calculated for multi-stage evaluation. Two-dimensional image of the printed matter 140 picked up by means of a color camera 150 is then inputted to a deciding/ processing section 112 where difference from chromaticity value of reference image and an evaluation quantitative value as a print image are calculated at a watching point on the printing face and the value thus calculated is compared with a threshold value predetermined based on a quantitative value for multi-stage evaluation thus deciding pass/fail of the printed matter 140.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】本発明は,カラー印刷物の色合い
の違いの検査などにおける,色調判定の定量化を行う技
術に関し,特に,検査員の目視により行われている色調
判定において,判定の自動化を図るために人間の色調判
定を定量化し,それに基づいて妥当な判定を可能とする
自動色調判定方法に関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a technique for quantifying a color tone judgment in a color difference inspection of a color printed matter. In particular, in the color tone judgment visually conducted by an inspector, the judgment is automated. To achieve this, the present invention relates to an automatic color tone determination method that quantifies human color tone determination and enables appropriate determination based on that.

【0002】[0002]

【従来の技術】一般に,印刷会社では,人間の目視検査
によって製品の良否判定が行われている。判定は,基準
となる正常な製品との比較によって行われる。色調に関
する検査の場合,基準との比較の結果,検査員の目視に
より色の差が小さければ正常,差が大きければ欠陥(不
良)と判定される。
2. Description of the Related Art Generally, in a printing company, the quality of a product is judged by a human visual inspection. Judgment is made by comparison with a normal product as a reference. In the case of inspection regarding color tone, as a result of comparison with the standard, if the difference in color is visually small by the inspector, it is judged to be normal, and if the difference is large, it is judged to be defective (defective).

【0003】自動検査の場合,カラーカメラにより印刷
物を画像として入力し,各画素についてカラー信号とし
てRGB値を得る。人間の感覚に近い判定を行うため
に,通常,RGB値を均等色空間としてCIE(国際照
明委員会)により推奨されているCIEL* * *
での色度値に変換して,CIEL* * * 色空間での
色差値を用いて,色の違いを評価するようにしている。
変換としては,例えば,RGB値を3×3の行列変換に
より,色の標準値であるXYZ表色系での色度値に変換
した後,CIE提示の変換式(例えば,日本色彩学会編
「色彩科学ハンドブック」東京大学出版会発行,pp.141
-142参照)を施すことにより,L* ,a*,b* 値に変
換する方法を用いる。
In the case of automatic inspection, a printed matter is input as an image by a color camera, and RGB values are obtained as color signals for each pixel. In order to make a judgment close to human sense, RGB values are usually converted into chromaticity values in the CIE L * a * b * system recommended by CIE (International Commission on Illumination) as a uniform color space, and CIE L values are converted. The color difference is evaluated using the color difference value in the * a * b * color space.
As the conversion, for example, the RGB value is converted into a chromaticity value in the XYZ color system which is the standard value of the color by a matrix conversion of 3 × 3, and then the conversion formula of the CIE presentation (for example, “Color Society of Japan” Color Science Handbook ", published by The University of Tokyo Press, pp.141
-142) to convert to L * , a * , b * values.

【0004】検査判定では,画像の局所領域毎に,CI
EL* * * 表色系での色差値ΔEab*を算出し,
予め設定しておいた正常と欠陥との境界を示すしきい値
よりも色差が小さければ正常,大きければ欠陥と判定す
る。
In the inspection judgment, the CI for each local area of the image is determined.
Calculate the color difference value ΔEab * in the EL * a * b * color system,
If the color difference is smaller than a preset threshold value indicating the boundary between normal and defective, it is determined to be normal, and if the color difference is large, it is determined to be defective.

【0005】[0005]

【発明が解決しようとする課題】しかしながら,従来の
色調判定方法では,段階的な色差値と目視検査の評価結
果との関係を考慮に入れずに,正常と欠陥とのしきい値
決定がなされるので,色の段階的な違いを定量的に表現
し,その定量的に表現された値を考慮した基準に基づく
判定を行うことができないという問題点がある。
However, in the conventional color tone determination method, the threshold value for normality and defect is determined without considering the relationship between the stepwise color difference value and the evaluation result of visual inspection. Therefore, there is a problem in that it is not possible to quantitatively express a stepwise difference in color and to make a judgment based on a standard that takes the quantitatively expressed value into consideration.

【0006】また,実際の色調検査では,印刷面の絵柄
に応じて,重要視する部分と重要視しない部分が存在す
る。従来の色調判定方法では,領域の違いによる重要視
の度合の違いが考慮されないので,印刷面全体の色調の
判定を行う際に,人間の色調検査における感覚に合った
判定を行うことができないという問題点もある。
Further, in the actual color tone inspection, there are a part that is considered important and a part that is not considered important depending on the pattern on the printed surface. Since the conventional color tone determination method does not consider the difference in the degree of important attention due to the difference in area, it is not possible to make a determination that matches the human sense of the color tone inspection when determining the color tone of the entire print surface. There are also problems.

【0007】本発明はこれらの問題点の解消を図ろうと
するもので,色調の段階的な違いを定量的に評価するこ
とができるとともに,印刷面の局所的な領域毎の検査に
おいて重要視される度合を設け,人間の検査員による目
視判定に近い判定を行うことのできる手段を提供するこ
とを目的とする。
The present invention is intended to solve these problems and is capable of quantitatively evaluating a stepwise difference in color tone, and is regarded as important in the inspection of local areas on the printing surface. It is an object of the present invention to provide a means capable of making a judgment close to the visual judgment by a human inspector by setting a certain degree.

【0008】[0008]

【課題を解決するための手段】このため,本発明では,
カラー画像入力により得られた印刷画像内の色領域につ
いて,基準画像と検査画像の色差をカラー信号値を変換
した信号値により算出し,所定のしきい値により良否判
定を行うシステムにおいて,図1に示すような処理を行
う。図1において,101は判定基準データを得るため
の試料とする印刷物,111は定量的な判定基準データ
を算出する定量判定基準算出部,112は印刷物の良否
を決定する自動色調検査装置における判定処理部,13
0は印刷物101の色調を各色領域について計測する色
調計測器,140は検査対象の印刷物,150は印刷物
140のカラー画像を得るためのカラーカメラを表す。
Therefore, according to the present invention,
For a color area in a print image obtained by inputting a color image, a color difference between a reference image and an inspection image is calculated by a signal value obtained by converting a color signal value, and a quality determination is performed by a predetermined threshold value. The process shown in is performed. In FIG. 1, 101 is a printed matter to be used as a sample for obtaining judgment reference data, 111 is a quantitative judgment reference calculation unit for calculating quantitative judgment reference data, and 112 is a judgment process in an automatic color tone inspection device for determining the quality of the printed matter. Section, 13
Reference numeral 0 denotes a color tone measuring device for measuring the color tone of the printed matter 101 for each color region, 140 denotes a printed matter to be inspected, and 150 denotes a color camera for obtaining a color image of the printed matter 140.

【0009】まず,定量的な判定基準データを得るため
に,処理201により,良から不良まで段階的に色調を
変化させた複数の印刷物101の試料のそれぞれに対し
て,目視検査員が色調を検査して判定した多段階の総合
評価判定結果を入力する。一方,処理202により,印
刷面上の複数の色領域について,複数の印刷物101の
試料の色調を色調計測器130等により計測し,基準と
なる印刷物に対する印刷物試料の色差計測値を得る。
First, in order to obtain quantitative judgment reference data, a process 201 allows a visual inspector to set a color tone for each of a plurality of samples of the printed matter 101 whose color tone is changed stepwise from good to bad. Input the multi-level comprehensive evaluation judgment result judged by inspection. On the other hand, in the process 202, the color tones of the samples of the plurality of prints 101 are measured by the color tone measuring device 130 or the like in the plurality of color areas on the print surface, and the color difference measurement value of the prints of the reference print is obtained.

【0010】次に,処理203により,前記色差計測値
の重み付き和として,目視検査員の各多段階評価に対す
る得点が算出されるものとしたときの各色領域に対する
重みを,主成分分析の固有ベクトルとして算出する。そ
して,処理204により,得られた色領域の重みと色差
計測値とを用いて,複数の色領域を総合した定量値を算
出し,色領域の重みの和で割ることなどにより,各多段
階評価に対する定量値を得る。これにより,例えば判定
Aの定量値は2.0,判定A- の定量値は2.8,…,
判定B- の定量値は7.0,…というように,定量的な
値が求まる。このデータを,自動色調検査装置が良否を
判定する際に用いるしきい値の基準として用いることに
より,人間の目視判定に近い判定を行うことができる。
Next, in processing 203, the weight for each color region when the score for each multi-level evaluation of the visual inspector is calculated as the weighted sum of the color difference measurement values, the eigenvector of the principal component analysis is calculated. Calculate as Then, by the processing 204, using the obtained weights of the color areas and the color difference measurement values, a quantitative value that integrates a plurality of color areas is calculated and divided by the sum of the weights of the color areas. Obtain a quantitative value for the evaluation. Thus, for example, quantitative value of determination A is 2.0, determined A - Determination value 2.8, ...,
The quantitative value of the judgment B is 7.0, ... By using this data as a reference of a threshold value used when the automatic color tone inspection device determines quality, it is possible to make a determination close to a human visual determination.

【0011】実際の印刷物140の良否判定では,検査
対象の絵柄について予め目視検査員によって提示され
た,判定に当たって重要視する箇所と重要視の度合に関
する情報を用いて,処理211により,カラーカメラ1
50から入力した印刷物140としての色調の評価値を
定量的に算出する。そして,処理212により,前記各
多段階評価に対する定量値に基づいて定められたしきい
値と,検査対象印刷物に対して算出された評価値との比
較により検査対象となっている印刷物140の良否を判
定する。
In the pass / fail judgment of the actual printed matter 140, the color camera 1 is processed by the process 211 by using the information about the point of importance in the judgment and the degree of the importance, which is presented in advance by the visual inspector for the pattern to be inspected.
The evaluation value of the color tone of the printed matter 140 input from 50 is quantitatively calculated. Then, in the process 212, the quality of the printed matter 140 to be inspected is compared by comparing the threshold value determined based on the quantitative value for each of the multi-level evaluations with the evaluation value calculated for the inspected printed matter. To judge.

【0012】請求項2記載の発明では,さらに,色差
を,明度,彩度,色相の各々の基準との差の2乗に,重
みを付けて足し合わせた値として算出される新たな色差
変換式を得て,色差算出を行い,印刷物の色調欠陥の定
量評価値を算出し,検査判定を行うようにする。
According to the second aspect of the present invention, a new color difference conversion is further calculated in which the color difference is calculated as a value obtained by adding a weight to the square of the difference between each of the criteria of lightness, saturation and hue and adding the weights. After obtaining the formula, the color difference is calculated, the quantitative evaluation value of the color tone defect of the printed matter is calculated, and the inspection judgment is performed.

【0013】[0013]

【作用】カラー印刷物の自動色調検査で,カラー画像入
力により得られた印刷画像内の色領域について,カラー
信号値を変換した信号値により基準画像と検査画像の色
差を算出し,しきい値により良否判定を行う検査方法に
おいて,良品から不良品までの印刷物試料に対する,目
視検査員による色調判定結果を得て,印刷面上の複数の
色領域の検査における重要性の度合を主成分分析の固有
ベクトルとして算出しておき,得られた重みと色差計測
値とを用いて,各多段階評価に対する定量値を得るこ
と,また,検査対象絵柄について目視検査員によって提
示された,重要箇所とその度合を用いて,印刷物として
の色調の評価値を定量的に算出すること,さらに,色差
を,明度,彩度,色相の各々の基準との差の2乗に,重
みを付けて足し合わせた値として算出される新たな色差
変換式を得て,色差算出を行い,印刷物の色調欠陥の定
量評価値を算出し,検査判定を行うという簡素な構成に
より,カラー信号値を用いて,色調の違いによる欠陥判
定を人間の色差感覚に準ずる尺度で,多段階に示すこと
ができる。また,印刷面の多数の局所領域の色調の違い
を考慮に入れた色調判定を行うことができる。
[Function] In the automatic color tone inspection of the color printed matter, the color difference between the reference image and the inspection image is calculated by the signal value obtained by converting the color signal value with respect to the color area in the printed image obtained by inputting the color image, and by the threshold value. In the inspection method for determining the quality, the result of the color tone judgment by the visual inspector is obtained for the printed matter samples from the non-defective product to the defective product, and the degree of importance in the inspection of the multiple color regions on the printed surface is determined by the eigenvector of the principal component analysis. Then, using the obtained weights and color difference measurement values, quantitative values for each multi-level evaluation are obtained, and the important points and their degrees presented by the visual inspector for the inspected pattern are shown. Quantitatively calculate the evaluation value of the color tone of the printed matter by using the color difference, and add the color difference to the square of the difference between each of the criteria of lightness, saturation, and hue with weighting. A new color difference conversion formula that is calculated as a calculated value is obtained, color difference calculation is performed, a quantitative evaluation value of the color tone defect of the printed matter is calculated, and inspection judgment is performed. Defect judgment based on the difference of can be shown in multiple stages on a scale that is similar to human color difference perception. Further, it is possible to perform the color tone determination in consideration of the color tone differences of many local areas on the printing surface.

【0014】[0014]

【実施例】図面に従って,本発明の一実施例としての自
動色調判定方法について説明する。
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An automatic color tone determination method as an embodiment of the present invention will be described with reference to the drawings.

【0015】図2に示すように,基準印刷物Sと検査対
象印刷物Tがある。カラーカメラにより基準印刷物の画
像を入力し,メモリに格納する。検査対象の印刷物を同
様に画像入力し,メモリに格納する。色調検査の際に
は,画像メモリ上で対応する領域のRGB値の平均値を
算出し,基準画像と検査画像の各々について,RGB値
を均等表色系であるCIEL* * * 表色系の色度値
に変換し,CIEL* * * 空間での両者の距離を算
出することによって色差を得る。算出された色差値と,
目視検査の評価とを対応付けることにより,自動判定を
行う。以下に,色差値と目視評価とを対応付ける方法を
示す。
As shown in FIG. 2, the reference print S and the inspection pair
There is an elephant print T. Image of standard printed matter with color camera
Input the image and store it in the memory. The printed matter to be inspected
Input the image and store it in the memory. For color inspection
Is the average value of the RGB values of the corresponding area on the image memory.
Calculated, RGB value for each of the reference image and inspection image
Is a uniform color system CIEL*a*b*Chromaticity value of color system
Converted to CIEL*a *b*Calculate the distance between the two in space
Color difference is obtained by taking out. The calculated color difference value,
By correlating with the visual inspection evaluation, automatic judgment can be performed.
To do. Below is a method to associate color difference values with visual evaluation.
Show.

【0016】まず,印刷時にインク量を調整して,良か
ら不良まで段階的に色調が異なる試料を複数枚用意す
る。そして,全数,印刷現場の検査員に目視判定を行っ
てもらう。例えば,AからDの評価に+,−の補正を加
えたA,A- ,B+ ,B,B-,C+ ,C,C-
+ ,Dの10段階で判定を行うようにすればよい。判
定の際には,全試料について,印刷物としての判定結果
と,判定に影響を与えた印刷面上の領域を明示するよう
に指示しておく。これにより,図3に示すように,各印
刷物に対する判定と,判定における影響領域とを示す表
ができる。この結果を入力し,10段階の評価判定に対
応する定量的な評価値を算出する。
First, the amount of ink is adjusted at the time of printing to prepare a plurality of samples having different color tones from good to bad. Then, have all the inspectors at the printing site make a visual judgment. For example, A, A , B + , B, B , C + , C, C , which is obtained by adding + and − corrections to the evaluation from A to D,
The determination may be made in 10 steps of D + and D. At the time of judgment, it is instructed to clearly indicate the judgment result as a printed matter and the area on the printing surface that has an influence on the judgment for all the samples. As a result, as shown in FIG. 3, a table showing the judgment for each printed matter and the influence area in the judgment can be made. By inputting this result, a quantitative evaluation value corresponding to 10-step evaluation judgment is calculated.

【0017】検査対象印刷物の基準となる印刷物に対す
る色の違いは,絵柄の領域毎に局所的に異なる。例え
ば,図2に示すように,絵柄の中には複数の色領域1,
2,…が存在する。色領域毎の色差は,RGB信号から
の変換によらずとも,市販の測色計により精度良く計測
できる。目視判定に対する定量評価算出のためには,検
査員が目視判定の際に重要視した領域のうち,どのポイ
ントの色差がどの程度,判定に影響を与えているかを未
知の重み量とする必要がある。例えば,印刷面内の各局
所的色領域xに対する重みをlx とおく。
The difference in color with respect to the reference printed matter to be inspected is locally different for each pattern area. For example, as shown in FIG.
There are 2, ... The color difference for each color region can be accurately measured by a commercially available colorimeter without depending on conversion from RGB signals. In order to calculate the quantitative evaluation for the visual judgment, it is necessary to use the unknown weight as the color difference at what point in the region that the inspector emphasizes in the visual judgment and to what extent. is there. For example, the weight for each local color area x on the printing surface is set as l x .

【0018】計測した各局所領域の色差値にlx の重み
付けを行い,以下の主成分分析により各検査員の各多段
階評価に対する数値評価値を算出する。検査員の示した
重要視領域内の局所色領域を複数個(J個)選択し,ラ
グランジェの未定定数法により,(2)式による評価関
数Eを極小とするli (i=1,2,…,J)を求め
る。
The measured color difference value of each local area is weighted by l x , and a numerical evaluation value for each multi-level evaluation of each inspector is calculated by the following principal component analysis. A plurality (J) of local color areas within the important visual area indicated by the inspector are selected and l i (i = 1, 1) that minimizes the evaluation function E according to equation (2) by the Lagrange's undetermined constant method 2, ..., J).

【0019】ek (n)をn番目試料の計測点kにおけ
るΔEab*値,P(n)をn番目印刷物試料の得点と
し,
Let e k (n) be the ΔEab * value at the measurement point k of the nth sample, and P (n) be the score of the nth printed sample,

【0020】[0020]

【数1】 [Equation 1]

【0021】としたとき,評価関数は次の通りとなる。Then, the evaluation function is as follows.

【0022】[0022]

【数2】 [Equation 2]

【0023】ただし,Mは印刷物試料の枚数である。ま
た,μa*(m) はm番目の試料の評価と同一評価をもつ全
試料の評価値の平均であり,(3)式で算出される。
However, M is the number of printed matter samples. Further, μ a * (m) is the average of the evaluation values of all samples having the same evaluation as the evaluation of the m-th sample, and is calculated by the equation (3).

【0024】[0024]

【数3】 [Equation 3]

【0025】ここで,Na*(m) は,m番目サンプルの1
0段階評価a* (m)と同一の評価を持つサンプルの個
数である。
Here, N a * (m) is 1 of the m-th sample
It is the number of samples having the same evaluation as the 0-level evaluation a * (m).

【0026】[0026]

【数4】 [Equation 4]

【0027】ただし,Sijは(6)式で得られる。However, S ij is obtained by the equation (6).

【0028】[0028]

【数5】 [Equation 5]

【0029】[0029]

【数6】 [Equation 6]

【0030】(4)式よりλを求めて,値が全て正の固
有ベクトルをもって,各検査員の,計測点1,2,…,
Jに対する重み付け量とする。(3)式により検査員の
各多段階評価に対する評価値が算出できる。
Λ is obtained from the equation (4), and all the inspectors have eigenvectors with positive values.
Let J be a weighting amount. The evaluation value for each multi-level evaluation of the inspector can be calculated by the formula (3).

【0031】例えば,図4に示すように,検査員#1に
ついて,AからDまでの10段階の評価に対する定量評
価値が算出される。この例では,判定A,A- ,B+
…の定量値は,各々2.0,2.5,3.2,…などと
算出されている。
For example, as shown in FIG. 4, for the inspector # 1, a quantitative evaluation value for 10-step evaluation from A to D is calculated. In this example, the judgments A, A , B + ,
The quantitative values of ... Are calculated as 2.0, 2.5, 3.2 ,.

【0032】次に,AからDまでの評価値が良判定から
不良判定になるに従い単調増加するように評価値を設定
する。各検査員の10段階評価点を最小二乗法を用い
(7)式により近似する。
Next, the evaluation values are set so that the evaluation values from A to D monotonically increase from the good judgment to the bad judgment. The 10-point evaluation score of each inspector is approximated by the equation (7) using the least squares method.

【0033】[0033]

【数7】 [Equation 7]

【0034】ただし,xはAからDまでの10段階評価
に対応し,1.0から10.0の値であり,yは各評価
に対する評価点である。この2次式による近似により,
例えば,図4に点線で示す曲線のように,10段階評価
点を近似することができる。
However, x corresponds to a 10-step evaluation from A to D, has a value of 1.0 to 10.0, and y is an evaluation point for each evaluation. By the approximation by this quadratic equation,
For example, a 10-point evaluation point can be approximated as shown by a curve indicated by a dotted line in FIG.

【0035】以上のような(7)式に示す2次式に限ら
ず,(8)式に示すような対数関数を用いるようにして
もよい。
The logarithmic function as shown in equation (8) may be used instead of the quadratic equation as shown in equation (7).

【0036】[0036]

【数8】 [Equation 8]

【0037】xが1.0から10.0の範囲で(7)式
あるいは(8)式が単調増加していれば,これは近似関
数として妥当である。さて,ここで得られた評価値は,
J個の計測点の重み付きの合計値であるので,1つずつ
の計測点に対する評価値は,J個の各計測点に対する重
みli (i=1,2,…,J)の和で割った値で得られ
る。
If the equation (7) or the equation (8) monotonically increases in the range of x from 1.0 to 10.0, this is appropriate as an approximate function. Now, the evaluation value obtained here is
Since it is a weighted sum of J measurement points, the evaluation value for each measurement point is the sum of the weights l i (i = 1, 2, ..., J) for each J measurement point. It is obtained by dividing the value.

【0038】以上の通り,検査員の多段階評価に対する
定量値が算出される。10段階評価ではAおよびBが正
常,CおよびDが欠陥の判定である。また,BとCの境
界部は判定が不確定な範囲であるとも言える。得られた
10段階評価に対する評価値を用いて,良・不良あるい
は不確定の自動判定を行うようにすればよい。
As described above, the quantitative value for the multi-level evaluation by the inspector is calculated. In the 10-point evaluation, A and B are normal, and C and D are defects. It can also be said that the boundary between B and C is a range where the determination is uncertain. It is only necessary to use the obtained evaluation values for the 10-step evaluation to perform a good / bad or indeterminate automatic determination.

【0039】以上,複数の色領域の色差値から,各々の
色領域の判定に対する重みを考慮した計算を施すことに
より,色差値ΔEab*と,目視判定との対応付けを行
うことができる。
As described above, the color difference value ΔEab * and the visual judgment can be associated with each other by performing the calculation considering the weight for the judgment of each color area from the color difference values of the plurality of color areas.

【0040】実際の目視判定では,複数の領域を含めた
印刷面の全面の色の違いによってなされる。検査におい
て重要視するべき領域は,目視検査員によって,印刷物
の絵柄毎に予め決定しておくことができる。重要視すべ
き領域と,そうでない領域について,印刷物としての判
定評価値を算出するときの寄与率を,重み付けの違いと
して設定しておけばよい。
The actual visual judgment is made based on the color difference of the entire printing surface including a plurality of areas. The area to be emphasized in the inspection can be determined in advance by the visual inspector for each pattern of the printed matter. The contribution rate when calculating the judgment evaluation value as a printed matter may be set as the weighting difference between the important area and the other area.

【0041】例えば,図2に示すように,検査員が色調
判定の際に重要視する色領域1,2,…を,検査員自身
に複数箇所指定してもらい,各々に対する重要度を提示
してもらう。提示されたi領域の重要度をli とする。
For example, as shown in FIG. 2, the inspector himself designates a plurality of color areas 1, 2, ... Which the inspector considers important when judging the color tone, and presents the degree of importance for each. Ask. Let the importance of the presented i region be l i .

【0042】これによれば,(1)式に準じて,e
k (n)をn番目試料の計測点kにおける色差算出値,
P(n)をn番目印刷物試料の定量評価値として,次式
によりP(n)を算出する。
According to this, according to the equation (1), e
k (n) is the color difference calculation value at the measurement point k of the nth sample,
Using P (n) as the quantitative evaluation value of the n-th printed matter sample, P (n) is calculated by the following equation.

【0043】[0043]

【数9】 [Equation 9]

【0044】P(n)に対するしきい値をもって判定す
ることで,印刷面の局所的色調の違いを考慮した判定が
行うことができる。なお,(9)式におけるlk として
は,検査員の提示した重要度をそのまま用いるのではな
く,示された重要度にさらに重みを付与したものとして
もよい。
By making a judgment with a threshold value for P (n), it is possible to make a judgment in consideration of the difference in local color tone of the printing surface. As l k in the equation (9), the importance presented by the inspector may not be used as it is, but the importance shown may be further weighted.

【0045】上述の方法では,色差値としてCIEL*
* * 表色系での色差値を採用したが,人間の色の違
いの感覚に必ずしも合致するものではない。そこで,計
測算出されたL* * * 値を明度L,彩度C,色相H
に置き換え,さらに,目視判定結果を用いて,LCHの
各要素の重みを算出する方法が有効である。即ち,
In the above method, CIEL * is used as the color difference value .
Although the color difference value in the a * b * color system is adopted, it does not necessarily match the human sense of color difference. Therefore, the measured and calculated L * a * b * values are represented by lightness L, saturation C, and hue H.
In addition, the method of calculating the weight of each element of the LCH using the visual determination result is effective. That is,

【0046】[0046]

【数10】 [Equation 10]

【0047】としたときの,ΔL,ΔC,ΔHを各々算
出する。明度についてはΔL=ΔL*である。基準のa
* ,b* 値を,a* ,b* とする。a* * 平面におい
て基準色と検査色の色相が成す角をθとする。また,基
準色と検査色の彩度を各々C1,C2 とすると,
Then, ΔL, ΔC, and ΔH are calculated respectively. Regarding the lightness, ΔL = ΔL * . Standard a
The * and b * values are a * and b * . The angle formed by the hues of the reference color and the inspection color on the a * b * plane is θ. Further, if the saturations of the reference color and the inspection color are C 1 and C 2 , respectively,

【0048】[0048]

【数11】 [Equation 11]

【0049】[0049]

【数12】 [Equation 12]

【0050】[0050]

【数13】 [Equation 13]

【0051】[0051]

【数14】 [Equation 14]

【0052】によりLCHでの差に変換できる。実際の
人間の感覚は,明度差,彩度差,色相差が等価ではな
く,各々の重み付けが異なると考えられる。そこで,
Can be converted into a difference in LCH. In the actual human sense, it is considered that the difference in lightness, the difference in saturation, and the difference in hue are not equivalent, and the respective weightings are different. Therefore,

【0053】[0053]

【数15】 [Equation 15]

【0054】となる重み係数l,c,hを算出する。J
個の計測点に対する重みおよび10段階評価の定量値
は,前述の通り算出された固有ベクトルの値とし,(1
5)式による(ΔE)2 と,色試料の10段階評価の定
量値の2乗との差の2乗和を最小とすることにより算出
される。
The weighting factors l, c, and h are calculated as follows. J
The weight for each measurement point and the quantitative value of the 10-step evaluation are the values of the eigenvector calculated as described above, and (1
It is calculated by minimizing the sum of squares of the difference between (ΔE) 2 according to the equation (5) and the square of the quantitative value of the 10-step evaluation of the color sample.

【0055】この結果により,新たな色差算出式が得ら
れる。なお,各重み係数をΔLの重みlで割った値,即
ち,lを1として正規化した式を用いてもよい。新たな
色差算出式による色差値を用いて,自動評価する場合の
評価点の算出は,前述と同様の方法で行われる。
From this result, a new color difference calculation formula is obtained. A value obtained by dividing each weighting coefficient by a weight l of ΔL, that is, an equation normalized by setting 1 to 1 may be used. The calculation of the evaluation points in the case of automatic evaluation using the color difference value by the new color difference calculation formula is performed by the same method as described above.

【0056】カラーカメラで得られるRGB値から,色
の標準値であるXYZ色度値への変換は,予め,XYZ
値が既知の色試料を多数画像入力してRGB値を得て,
最小二乗法により,変換式を決定すればよい。この結
果,例えば,
The conversion from the RGB value obtained by the color camera to the XYZ chromaticity value which is the standard value of the color is performed in advance in XYZ.
Input RGB images of many color samples with known values to obtain RGB values,
The conversion formula may be determined by the least squares method. As a result, for example,

【0057】[0057]

【数16】 [Equation 16]

【0058】のような変換式が得られる。XYZ値から
CIEL* * * 表色系への変換は,前に示す通りC
IE提示の所定の式によって行われる。カメラにより印
刷物を画像入力し,画像処理により判定処理を行う方法
の流れを,図5により説明する。印刷面をカラーカメラ
で撮像し,RGBのビデオ信号Vを得る。基準印刷物の
印刷面から得られた画像データが,基準画像メモリ11
に格納され,検査対象印刷物の印刷面から得られた画像
データが,検査画像メモリ12に格納される。目視検査
員の指定した局所領域の位置や局所領域に対する重みの
違いは,局所領域データメモリ20に予め格納されてい
る。
A conversion formula like the following is obtained. The conversion from XYZ values to the CIE L * a * b * color system is C as shown above.
It is performed by a predetermined formula of IE presentation. A flow of a method of inputting an image of a printed matter by a camera and performing a determination process by image processing will be described with reference to FIG. An image of the printing surface is picked up by a color camera, and RGB video signals V are obtained. The image data obtained from the printing surface of the reference print is the reference image memory 11
The image data obtained from the printing surface of the print object to be inspected is stored in the inspection image memory 12. The position of the local area designated by the visual inspector and the difference in weight with respect to the local area are stored in the local area data memory 20 in advance.

【0059】色調検査時は,各局所領域について,RG
B信号値を変換して色度値21,22を得て,色差算出
式に基づき色差30を計算する。色差30と局所領域に
対する重み量とを用いて,定量的な評価値31を算出す
る。算出された評価値31に対してしきい値処理を施す
ことにより,判定32が行われる。
At the time of color tone inspection, RG is set for each local area.
The B signal value is converted to obtain the chromaticity values 21 and 22, and the color difference 30 is calculated based on the color difference calculation formula. A quantitative evaluation value 31 is calculated using the color difference 30 and the weight amount for the local area. The determination 32 is performed by performing threshold processing on the calculated evaluation value 31.

【0060】図6に本発明を適用する自動色調検査装置
のシステム構成例を示す。M枚の印刷物101について
検査員の判定チェック表102を作成する。判定は,例
えばA,B,Cなどの10段階評価により行われる。こ
の判定結果は,プロセッサ110における定量判定基準
算出部111にデータ入力される。また,M枚の印刷物
101の印刷面上の,あらかじめ指定された複数の箇所
について,カラーミクロアナライザー等の色調計測器1
30により,測色的な色度値を計測する。計測結果は,
CIEL* * * 表色系での色度値に変換処理され,
定量判定基準算出部111に入力される。
FIG. 6 shows a system configuration example of an automatic color tone inspection apparatus to which the present invention is applied. An inspector's judgment check table 102 is created for M printed matter 101. The determination is made by, for example, a 10-step evaluation of A, B, C and the like. The result of this determination is input as data to the quantitative determination criterion calculation unit 111 in the processor 110. In addition, a color tone measuring device 1 such as a color micro-analyzer for a plurality of predesignated locations on the printing surface of the M printed matter 101.
The colorimetric chromaticity value is measured by 30. The measurement result is
CIEL * a * b * is converted into chromaticity values in the color system,
It is input to the quantitative determination criterion calculation unit 111.

【0061】検査員の検査時における注視点を入力する
ために,例えば,印刷物140の内1枚をカラーカメラ
150により画像入力し,モニタ画面120に表示し
て,マウス123の操作によるカーソル122を用いた
位置指定により,画面内で注視箇所を矩形領域として示
す。得られた注視点は,画像の3次元アドレスとして,
定量判定基準算出部111に入力される。
In order to input the gazing point of the inspector at the time of inspection, for example, one of the printed materials 140 is input by the color camera 150, displayed on the monitor screen 120, and the cursor 122 operated by the mouse 123 is displayed. The designated location is used to indicate the gaze point as a rectangular area on the screen. The obtained gazing point is the 3D address of the image.
It is input to the quantitative determination criterion calculation unit 111.

【0062】以上の通り,検査員の判定チェックデー
タ,色調計測データおよび注視点アドレスを,定量判定
基準算出部111に入力した後,前述した主成分分析に
よる定量値の算出方法により,A,B,Cなどの多段階
評価に対する定量値を算出する。この値が自動評価に用
いられる。
As described above, after the inspector's judgment check data, color tone measurement data, and gazing point address are input to the quantitative judgment reference calculation unit 111, A, B are calculated by the above-described quantitative value calculation method by principal component analysis. , C, etc. are calculated for the multi-level evaluation. This value is used for automatic evaluation.

【0063】自動検査の場合には,まず,検査の基準と
なる印刷物を画像入力する。この際,印刷物141をロ
ーラ160によって駆動されるベルトコンベア161に
より搬送し,CCDラインセンサー等によるカラーカメ
ラ150を用いて画像入力する。なお,ラインセンサー
を用いて2次元画像を得る場合,ベルトコンベア161
の搬送による印刷物の移動を,画像取り込みの副走査と
すればよい。
In the case of the automatic inspection, first, the image of the printed matter to be the inspection reference is input. At this time, the printed matter 141 is conveyed by a belt conveyor 161 driven by rollers 160, and an image is input using a color camera 150 such as a CCD line sensor. When a two-dimensional image is obtained using a line sensor, the belt conveyor 161
The movement of the printed material due to the conveyance of the above can be used as the sub-scan for image capturing.

【0064】RGB信号として得られた基準画像は,プ
ロセッサ110の判定処理部112に入力される。判定
処理部112において,前述の通りアドレス入力された
印刷面上の注視点について,マトリクス演算などの信号
変換処理により,RGB値をCIEL* * * 表色系
の色度値に変換し,得られた色度値を基準値としてメモ
リに格納する。
The reference image obtained as the RGB signal is input to the determination processing section 112 of the processor 110. In the determination processing unit 112, the RGB values are converted into the chromaticity values of the CIEL * a * b * color specification system by signal conversion processing such as matrix calculation for the gazing point on the printing surface to which the address is input as described above. The obtained chromaticity value is stored in the memory as a reference value.

【0065】検査を行う場合には,印刷物140を順
次,ベルトコンベア161で搬送し,上述と同様に2次
元画像を得て,判定処理部112へ検査画像を入力す
る。基準画像の場合と同様に,CIEL* * * 表色
系での色度値に変換した上で,印刷面上の注視点につい
て,基準画像の色度値との差(表色空間名でのユークリ
ッド距離)を算出する。さらに,定量判定基準算出部1
11で算出された,各注視点の重みを用いて,印刷画像
としての評価定量値を算出する。そして,定量判定基準
算出部111で算出された判定基準データを用いて,良
否判定を行い,判定結果に基づき,ベルトコンベア16
1上に設けられた仕分け機構162を作動して,良品ス
トッカ164と不良品ストッカ163に印刷物を仕分け
する。
When the inspection is performed, the printed matter 140 is sequentially conveyed by the belt conveyor 161, a two-dimensional image is obtained as described above, and the inspection image is input to the determination processing unit 112. Similar to the case of the reference image, after converting to the chromaticity value in the CIEL * a * b * colorimetric system, the difference between the gazing point on the printing surface and the chromaticity value of the reference image (color space name) Euclidean distance in) is calculated. Furthermore, the quantitative determination standard calculation unit 1
Using the weight of each gazing point calculated in 11, the evaluation quantitative value as a print image is calculated. Then, the quality determination is performed using the determination standard data calculated by the quantitative determination standard calculation unit 111, and the belt conveyor 16 is determined based on the determination result.
The sorting mechanism 162 provided on the first unit is operated to sort the printed matter into the non-defective stocker 164 and the defective stocker 163.

【0066】良否判定は,例えば検査員#1の定量判定
基準を用いる場合,図4に示す例のように定量評価値が
得られていたとすると,判定B- の定量値が約7.0,
判定C+ が9.0であることから,その中間の値である
8.0を境界として,検査画像に対して算出された評価
定量値が8.0未満ならば良品,8.0以上ならば不良
と判定するように設定すればよい。
[0066] quality determination, for example when using a quantitative criterion inspector # 1, when a quantitative evaluation value as in the example shown in FIG. 4 were obtained, determination B - quantitative value of about 7.0,
Since the judgment C + is 9.0, with the intermediate value of 8.0 as the boundary, if the evaluation quantitative value calculated for the inspection image is less than 8.0, it is a non-defective product, and if it is 8.0 or more. If so, it may be set so that it is determined to be defective.

【0067】[0067]

【発明の効果】以上説明したように,本発明によれば,
カラーカメラを用いて印刷面の色調の違いを自動的に判
定することに有用であり,極めて簡素な構成により次の
ような優れた効果が得られる。
As described above, according to the present invention,
This is useful for automatically determining the difference in color tone on the printing surface using a color camera, and the following excellent effects can be obtained with an extremely simple configuration.

【0068】・カラー信号値を用いて算出される色差値
を,目視検査員の多段階評価尺度に対応付けることによ
り,色調の違いによる欠陥判定を,人間の色差感覚に準
ずる尺度で,多段階に示すことができる。
By associating the color difference value calculated using the color signal value with the multi-level evaluation scale of the visual inspector, the defect judgment due to the difference in color tone is multi-staged in a scale that is similar to the human sense of color difference. Can be shown.

【0069】・印刷面の多数の局所領域の色調の違いを
考慮に入れた色調判定を行うことができる。
Color tone determination can be performed in consideration of the color tone differences of a large number of local areas on the printing surface.

【図面の簡単な説明】[Brief description of drawings]

【図1】本発明の原理説明図である。FIG. 1 is a diagram illustrating the principle of the present invention.

【図2】基準印刷物と検査対象印刷物中の色領域を示す
図である。
FIG. 2 is a diagram showing color regions in a reference printed matter and an inspection target printed matter.

【図3】複数の印刷物に対して行われる目視検査員の多
段階評価と判定において影響を与えた領域を示す図であ
る。
FIG. 3 is a diagram showing a region affected in a multi-level evaluation and determination by a visual inspector performed on a plurality of printed materials.

【図4】本発明の実施例における多段階評価に対する定
量値を算出した結果を示す図である。
FIG. 4 is a diagram showing a result of calculating quantitative values for multi-level evaluation in an example of the present invention.

【図5】本発明の実施例によるカラー画像を用いた色調
自動判定までの流れを示す図である。
FIG. 5 is a diagram showing a flow until automatic color tone determination using a color image according to an embodiment of the present invention.

【図6】本発明を適用する自動色調検査装置のシステム
構成例を示す図である。
FIG. 6 is a diagram showing a system configuration example of an automatic color tone inspection device to which the present invention is applied.

【符号の説明】[Explanation of symbols]

101 印刷物(試料) 111 定量判定基準算出部 112 判定処理部 130 色調計測器 140 検査対象の印刷物 150 カラーカメラ 201〜204 定量判定基準算出部における処理 211〜212 判定処理部における処理 101 Printed Material (Sample) 111 Quantitative Judgment Criteria Calculation Section 112 Judgment Processing Section 130 Color Tone Measuring Instrument 140 Printed Material to Be Inspected 150 Color Camera 201-204 Processing in Quantitative Judgment Criteria Calculation Section 211-212 Processing in Judgment Processing Section

Claims (2)

【特許請求の範囲】[Claims] 【請求項1】 カラー印刷物の色調を検査する方法であ
って,カラー画像入力により得られた印刷画像内の色領
域について,基準画像と検査画像の色差をカラー信号値
を変換した信号値により算出し,所定のしきい値との比
較によって良否判定を行う計算機を用いた自動色調判定
方法において,良から不良まで段階的に色調を変化させ
た複数の印刷物試料のそれぞれに対して,目視検査員が
色調を検査して判定した多段階の総合評価判定結果を入
力する過程と,印刷面上の複数の色領域について,基準
印刷物に対する印刷物試料の色差計測値を得る過程と,
前記色差計測値の重み付き和として,前記目視検査員の
各多段階評価に対する得点が算出されるものとしたとき
の各色領域に対する重みを,主成分分析の固有ベクトル
として算出する過程と,得られた色領域の重みと色差計
測値とを用いて,複数の色領域を総合した定量値を算出
し,その定量値と色領域の重みとに基づいて各多段階評
価に対する定量値を得る過程と,検査対象の絵柄につい
て前記目視検査員によって提示された,判定に当たって
重要視する箇所と重要視の度合に関する情報を用いて,
検査対象印刷物としての色調の評価値を定量的に算出す
る過程と,前記各多段階評価に対する定量値に基づいて
定められたしきい値と,前記検査対象印刷物に対して算
出された評価値との比較により検査対象印刷物の良否を
判定する過程とを備えたことを特徴とする自動色調判定
方法。
1. A method for inspecting a color tone of a color printed matter, wherein a color difference between a reference image and an inspected image is calculated by a signal value obtained by converting a color signal value in a color area in a print image obtained by inputting a color image. Then, in the automatic color tone determination method using a computer that determines quality by comparing with a predetermined threshold value, a visual inspector is used for each of a plurality of printed matter samples whose color tone is gradually changed from good to bad. Inputting the multi-level comprehensive evaluation judgment result judged by the color tone inspection, and the process of obtaining the color difference measurement value of the printed matter sample with respect to the reference printed matter for a plurality of color areas on the printing surface,
As a weighted sum of the color difference measurement values, a process of calculating a weight for each color region when a score for each multi-level evaluation of the visual inspector is calculated as an eigenvector of the principal component analysis, A process of calculating a quantitative value that integrates a plurality of color regions using the weight of the color region and the color difference measurement value, and obtaining a quantitative value for each multi-level evaluation based on the quantitative value and the weight of the color region, Using the information about the place to be emphasized in the judgment and the degree of importance, which is presented by the visual inspector for the pattern to be inspected,
A process of quantitatively calculating an evaluation value of a color tone as an inspection target printed matter, a threshold value determined based on the quantitative value for each of the multi-level evaluations, and an evaluation value calculated for the inspection target printed matter. And a process of judging whether the printed matter to be inspected is good or bad by comparing the above.
【請求項2】 請求項1記載の自動色調判定方法におい
て,色差算出に当たり,CIEL* * * 表色系での
色度値を,明度,彩度,色相に相当する値に変換し,色
差を,明度,彩度,色相の各々の基準との差の2乗に,
重みを付けて足し合わせた値とし,算出された各多段階
評価に対する定量値を,変換された明度,彩度,色相の
差の2乗の線形和で最も近似する重み係数を,最小二乗
法により算出することにより,新たな色差変換式を得
て,得られた変換式によって色差算出を行うことを特徴
とする自動色調判定方法。
2. The automatic color tone determination method according to claim 1, wherein in calculating the color difference, the chromaticity value in the CIEL * a * b * color system is converted into a value corresponding to lightness, saturation and hue, Color difference is the square of the difference from the standard of lightness, saturation, and hue,
The weighted value is added up, and the calculated quantitative value for each multi-level evaluation is converted into the weighting coefficient that is most approximated by the linear sum of squares of differences in lightness, saturation, and hue. An automatic color tone determination method, characterized in that a new color difference conversion formula is obtained by calculating according to, and the color difference is calculated using the obtained conversion formula.
JP04313275A 1992-11-24 1992-11-24 Automatic color tone judgment method Expired - Fee Related JP3140226B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP04313275A JP3140226B2 (en) 1992-11-24 1992-11-24 Automatic color tone judgment method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP04313275A JP3140226B2 (en) 1992-11-24 1992-11-24 Automatic color tone judgment method

Publications (2)

Publication Number Publication Date
JPH06160298A true JPH06160298A (en) 1994-06-07
JP3140226B2 JP3140226B2 (en) 2001-03-05

Family

ID=18039253

Family Applications (1)

Application Number Title Priority Date Filing Date
JP04313275A Expired - Fee Related JP3140226B2 (en) 1992-11-24 1992-11-24 Automatic color tone judgment method

Country Status (1)

Country Link
JP (1) JP3140226B2 (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8879075B2 (en) 2011-03-30 2014-11-04 Canon Kabushiki Kaisha Setting apparatus, inspection system, setting method of inspection processing, and program
JP2016206691A (en) * 2014-07-24 2016-12-08 株式会社プロスパークリエイティブ Image inspection apparatus and image inspection program
CN106768222A (en) * 2016-12-09 2017-05-31 浙江华东纺织印染有限公司 A kind of color additive automatic weighing method
JP2019178876A (en) * 2018-03-30 2019-10-17 ダイハツ工業株式会社 Color difference inspection device
CN112798107A (en) * 2021-01-18 2021-05-14 北京印刷学院 Method for calculating color difference threshold of cigarette packet holographic printed matter

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014146621A (en) * 2013-01-25 2014-08-14 Sharp Corp Power cable holding tool, power cable member including the same, solar cell module, and solar cell module mounting structure

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8879075B2 (en) 2011-03-30 2014-11-04 Canon Kabushiki Kaisha Setting apparatus, inspection system, setting method of inspection processing, and program
JP2016206691A (en) * 2014-07-24 2016-12-08 株式会社プロスパークリエイティブ Image inspection apparatus and image inspection program
CN106768222A (en) * 2016-12-09 2017-05-31 浙江华东纺织印染有限公司 A kind of color additive automatic weighing method
JP2019178876A (en) * 2018-03-30 2019-10-17 ダイハツ工業株式会社 Color difference inspection device
CN112798107A (en) * 2021-01-18 2021-05-14 北京印刷学院 Method for calculating color difference threshold of cigarette packet holographic printed matter
CN112798107B (en) * 2021-01-18 2023-06-20 北京印刷学院 Color difference threshold calculation method for holographic printed matter of tobacco package

Also Published As

Publication number Publication date
JP3140226B2 (en) 2001-03-05

Similar Documents

Publication Publication Date Title
US7127099B2 (en) Image searching defect detector
US4812904A (en) Optical color analysis process
USRE42715E1 (en) Vision system and method for process monitoring
JP5533245B2 (en) Method for calculating weight ratio by quality in grain appearance quality discrimination device
US7313270B2 (en) Vision system and method for process monitoring
JPH11108759A (en) Defect inspecting method and device therefor
US5208870A (en) Image inspection methods and apparatus
CN113109240B (en) Method and system for determining imperfect grains of grains implemented by computer
US20100039510A1 (en) Method and DEVICE for PRINT INSPECTION
JP3140226B2 (en) Automatic color tone judgment method
US6614041B1 (en) Method for determining the wood/bark ratio from a flow of wood material
JP3445327B2 (en) Method and apparatus for measuring uneven gloss and uneven printing
JP3140225B2 (en) Color tone inspection evaluation method
JP2005172649A (en) Apparatus for inspecting defect
JP2002286549A (en) Method and system for inspecting color tone
JPH04364449A (en) Fruit defect detecting apparatus
Somatilake et al. An image-based food classification system
JPH0646252A (en) Picture signal correction processing method
JP2021099285A (en) Color unevenness inspection device and color unevenness inspection method
JP3985891B2 (en) Image defect detection apparatus and image defect detection method
JP3498120B2 (en) High-precision measuring method and apparatus for uneven gloss
Chung et al. Color inspection of printed texture using scanner and NN model
CN115980098A (en) Article inspection device and article inspection method
JPH04152251A (en) Surface state inspection device
JP2020201188A (en) Color unevenness inspection method, color unevenness inspection device, and program

Legal Events

Date Code Title Description
FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20071215

Year of fee payment: 7

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20081215

Year of fee payment: 8

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20091215

Year of fee payment: 9

LAPS Cancellation because of no payment of annual fees