JPH0352082A - Color image evaluating device - Google Patents
Color image evaluating deviceInfo
- Publication number
- JPH0352082A JPH0352082A JP1187966A JP18796689A JPH0352082A JP H0352082 A JPH0352082 A JP H0352082A JP 1187966 A JP1187966 A JP 1187966A JP 18796689 A JP18796689 A JP 18796689A JP H0352082 A JPH0352082 A JP H0352082A
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- image
- contrast effect
- person
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- 230000000694 effects Effects 0.000 claims abstract description 34
- 238000011156 evaluation Methods 0.000 claims abstract description 28
- 238000006243 chemical reaction Methods 0.000 claims abstract description 24
- 238000012545 processing Methods 0.000 claims abstract description 15
- 239000013598 vector Substances 0.000 claims abstract description 9
- 238000003384 imaging method Methods 0.000 claims description 11
- 239000002131 composite material Substances 0.000 claims description 3
- 238000000053 physical method Methods 0.000 abstract description 16
- 238000010586 diagram Methods 0.000 abstract description 15
- 230000000007 visual effect Effects 0.000 abstract description 3
- 230000035807 sensation Effects 0.000 abstract 2
- 230000001939 inductive effect Effects 0.000 abstract 1
- 230000002194 synthesizing effect Effects 0.000 abstract 1
- 239000003086 colorant Substances 0.000 description 20
- 241000282412 Homo Species 0.000 description 10
- 230000006698 induction Effects 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 230000004456 color vision Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 241000255969 Pieris brassicae Species 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000004438 eyesight Effects 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000011326 mechanical measurement Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
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Abstract
Description
【発明の詳細な説明】
［概要］
カラー画像出力装置の評価を物理的計測によって行う評
価装置に関し、
色対比効果によって起こる人間の色感覚のずれを補正し
、物理的計測によっても人間と同様に評価できるカラー
画像評価装置を提供することを目的とし、
色パターンを撮像装置により撮像した信号を、Ａ／Ｄ変
換回路によりＡ／Ｄ変換を行い、ＨＬＳ（色相・明度・
彩度〉変換回路を介して画像メモリに格納し、次いで画
像処理回路に印加してカラー画像評価を行う装置におい
て、対比色を物理色と誘導色の合成ベクトルとして求め
る色対比効果演算回路を具備し、該色対比効果演算回路
に前記画像メモリから読出したデータを入力させて演算
し、その出力を画像処理回路に印加することで構戒する
。[Detailed Description of the Invention] [Summary] This invention relates to an evaluation device that evaluates a color image output device using physical measurements, corrects deviations in human color perception caused by color contrast effects, and achieves the same results as humans through physical measurements. The purpose is to provide a color image evaluation device that can evaluate color patterns, and the signal obtained by capturing a color pattern with an imaging device is A/D converted by an A/D conversion circuit, and HLS (hue, brightness,
A device that evaluates a color image by storing it in an image memory via a saturation conversion circuit and then applying it to an image processing circuit, which is equipped with a color contrast effect calculation circuit that calculates a contrasting color as a composite vector of a physical color and a derived color. However, the data read out from the image memory is input to the color contrast effect calculation circuit, and the calculation is performed, and the output thereof is applied to the image processing circuit.
［産業上の利用分野］
本発明はカラー画像出力装置の評価を物理的計測によっ
て行う評価装置に関する。[Industrial Application Field] The present invention relates to an evaluation device that evaluates a color image output device by physical measurement.
近年、カラープリンタやカラーディスプレイなどのカラ
ー画像出力装置が昔及して来たことに伴い、そのカラー
画像を大量に官能評価することが要．求されている。こ
のため人間が目視して評価すること、或いは機械装置の
ような物理的計測による評価が行われている。しかし、
人間が長時間にわたって、迅速で偏差のない評価を大量
に行うことは限界があるので、これを自動化する必要が
ある。また、物理的計測によって評価を自動化しても、
人間の色感覚との間にずれがあるので、これに人間の色
感覚機能を取り入れる必要がある．したがって物理的計
測によっても人間と同様に評価できるような自動評価装
置を開発することが要望されている。In recent years, with the spread of color image output devices such as color printers and color displays, it has become necessary to sensory-evaluate large quantities of color images. being sought after. For this reason, evaluation is performed by visual observation by humans or by physical measurement using mechanical devices. but,
There is a limit to the ability of humans to quickly and consistently perform a large number of evaluations over a long period of time, so it is necessary to automate this process. Furthermore, even if evaluation is automated through physical measurements,
Since there is a discrepancy between this and the human color sense, it is necessary to incorporate the human color sense function into this. Therefore, there is a need to develop an automatic evaluation device that can perform evaluations using physical measurements in the same way as humans.
［従来の技術］
従来のカラー画像の評価においては、人間の目視による
評価或いは物理的計測による評価が行われていた。とこ
ろが、人間が評価を行う場合には個人差によるばらつき
や、同一人の場合の時間経過に伴う評価値の偏移が起こ
る．また物理的計測による評価では、人間の色感覚との
間にずれがあることが判っている。即ち、人間は色対比
効果を感じ取るが、機械装置では従来その評価が出来な
かった．
まず、人間が色を評価することについて説明する．色の
三属性と呼ばれるものは色相、明度、彩度である．色を
色立体として表現するとき、色相を外周に取り、明度は
それに直交する縦軸、彩度は中心からの距離で示してい
る．色を数値で表現するとき「表色系」による方法があ
り、その例としてＣ ＩＥ−ＸＹＺ表色系、ＣＩＥ−Ｌ
” ａ” ｂ”表色系などがある．
色相は赤色（Ｒ）一黄色（Ｙ）一緑色（Ｇ）一青色ＣＢ
）をそれぞれ円周上の４方向に取って示すから、その時
円周上の前記色の間にある位置が各色を混合した色を表
している．そしてＲとＧ、ＹとＢの各色の組合せは反対
色と呼ばれ、各々同時に同じ場所で知覚することの出来
ない色であり、円周上互いに反対側に配置される。[Prior Art] In the conventional evaluation of color images, evaluation was performed by human visual observation or physical measurement. However, when humans perform evaluations, there are variations due to individual differences and deviations in evaluation values for the same person over time. Furthermore, evaluations based on physical measurements have shown that there is a discrepancy between the color sense and the human color sense. In other words, humans sense the color contrast effect, but mechanical devices have not been able to evaluate it until now. First, I will explain how humans evaluate colors. The three attributes of color are hue, brightness, and saturation. When expressing color as a color solid, the hue is expressed as the outer periphery, the brightness is expressed as the vertical axis perpendicular to it, and the saturation is expressed as the distance from the center. When expressing colors numerically, there is a method using "color system", examples of which are CIE-XYZ color system, CIE-L
There are "a" and "b" color systems.The hues are red (R), yellow (Y), green (G), and blue CB.
) are shown in each of the four directions on the circumference, so the position between the colors on the circumference represents the color that is a mixture of each color. The combinations of R and G and Y and B are called opposite colors, which cannot be perceived at the same time and in the same place, and are arranged on opposite sides of the circumference.
人間の視覚の反対色系（Ｒ−Ｇ反対色系及びＹ−Ｂ反対
色系〉においては、誘導色が引き起こされることが知ら
れている。ここで誘導色とは物理的には存在しない色が
人間の目には恰も存在するように見えるとき、その色を
言う．例えば暗室内で青色のスポットをスクリーン上に
照射したとき、そのスポットの廻りに黄色が見えること
、緑色のスポットのとき赤色が見えるこεである．その
ため人間の目は、異なる色の物を並べて見ると、反対色
系において誘導色が引き起こされるために、並べた相手
方によって同じ色のものを若干異なった色のものと認識
することがある．これを色対比効果と言う．
色対比効果は心理物理学的実験によって誘導色応答とし
て測定されている。例えば
高橋・江島著「同時色対比効果の定量的測定法」雑誌「
光学Ｊ Ｖｏ１．１）．Ｎｏ．５．１９８２． ｐ４７
８〜４８４同署「同時色対比効果の反対色応答による検
討」雑誌「光学」 同 号 ｐ４８５〜４９３ここで第
６図はそのデータを示す図である。第６図において、図
ＡはＲ−Ｇ反対色系、図ＢはＹ−Ｂ反対色系の場合で、
横軸は色波長（単位ナノメートル）、縦軸は誘導効果を
任意単位（個人毎に適宜定めた単位）で表している．第
６図Ａは波長５００ナノメートルの緑色光についてその
廻りに誘導光としてｒ（赤色）の存在することを感じ、
その光量を約２．５と判断し、波長５２０ナノメートル
の緑色光については最も強いｒ（赤色光）の存在を感じ
ていること、そして波長５７０ナノメートルの黄色光に
ついては当然ながら赤色光を感じてないことを示してい
る．同図の中央線より下はｇ（緑色光）という誘導光の
感じ方を調べている．波長６６０ナノメートルの赤色光
に対し最も強い緑色光を感じている．
第６図ＢではＹ−Ｂ反対色系であって、波長４８０ナノ
メートルの青色光に対しｙ（黄色光）という誘導光を極
めて強く感じている．波長６００ナノメートルの赤色光
に対し最も強いｂ（青色光〉を感じている．
人間の目の誘導色応答による色対比効果は以上のように
考えられる．したがって実際には存在しない色について
も存在するように感じながら、その色について評価をし
ている．
次に第７図は機械的計測による評価装置を示す図である
．第７図において、１はビデオカメラのような撮像装置
、２は撮像される色パターン例で３つ並ぶ枠内の着色は
それぞれ別の色とする．３は照明回路、４はＡ／Ｄ変換
回路、５はＨＬＳ変換回路、６は画像メモリ、７は画像
処理回路を示す．ＨＬＳ変換回路５のＨＬＳとは前記の
色の三属性の頭文字を示す。即ち、Ｈ：色相、Ｌ：明度
、Ｓ：彩度であって、これらの各値を求めるように原信
号ＲＧＢを変換する回路を言う．例えばＣＩＥ−Ｌ”ａ
”ｂ！表色系では、ａ０はＲ−Ｇ方向、ｂ８はＹ−Ｂ方
向に色相と彩度とを組合せて取った値を表し、Ｌ９は明
度の大きさを示す．第７図の場合ＨＬＳ変換回路はディ
ジタル変換を行う。It is known that induced colors are caused in the opposite color systems of human vision (R-G opposite color system and Y-B opposite color system).Here, induced colors are colors that do not physically exist. When something appears to exist to the human eye, we refer to that color.For example, when a blue spot is illuminated on a screen in a dark room, yellow appears around the spot, and a green spot appears red. Therefore, when the human eye looks at objects of different colors side by side, induced colors are induced in the opposite color system, so the human eye perceives objects of the same color as slightly different colors depending on the other side of the line. This is called the color contrast effect.The color contrast effect has been measured as an induced color response through psychophysical experiments.For example, Takahashi and Ejima, ``Quantitative Measurement Method of Simultaneous Color Contrast Effect,'' magazine. "
Optics J Vo1.1). No. 5.1982. p47
8-484 "Study of Simultaneous Color Contrast Effect by Opposite Color Response" Magazine "Optics" Same Issue p485-493 Here, FIG. 6 is a diagram showing the data. In Figure 6, Figure A is for the R-G opposite color system, and Figure B is for the Y-B opposite color system.
The horizontal axis represents the color wavelength (in nanometers), and the vertical axis represents the induction effect in arbitrary units (units determined appropriately for each individual). Figure 6A shows the presence of r (red) as guiding light around green light with a wavelength of 500 nanometers.
The amount of light is judged to be approximately 2.5, and the presence of the strongest R (red light) is felt for green light with a wavelength of 520 nanometers, and of course red light is felt for yellow light with a wavelength of 570 nanometers. It shows that you don't feel it. Below the center line in the same figure, we are investigating how the guiding light called g (green light) is perceived. Compared to red light with a wavelength of 660 nanometers, green light is the most intense. In Figure 6B, it is the opposite color system of Y-B, and the guiding light called y (yellow light) is felt extremely strongly against blue light with a wavelength of 480 nanometers. We perceive the strongest b (blue light) to red light with a wavelength of 600 nanometers.The color contrast effect due to the induced color response of the human eye can be thought of as described above.Therefore, colors that do not actually exist also exist. Figure 7 shows an evaluation device based on mechanical measurement. In Figure 7, 1 is an imaging device such as a video camera, and 2 is an imaging device such as a video camera. In the example of the color pattern to be imaged, each of the three frames lined up is colored in a different color. 3 is the illumination circuit, 4 is the A/D conversion circuit, 5 is the HLS conversion circuit, 6 is the image memory, and 7 is the image processing. The HLS of the HLS conversion circuit 5 indicates the initials of the three color attributes mentioned above. That is, H: Hue, L: Lightness, and S: Saturation. Refers to a circuit that converts the original signal RGB. For example, CIE-L"a
"b! In the color system, a0 represents the value obtained by combining hue and saturation in the R-G direction, b8 in the Y-B direction, and L9 represents the magnitude of lightness. In the case of Figure 7 The HLS conversion circuit performs digital conversion.
第７図において、評価するため「標準」とする或る一つ
の色パターンについて、予め撮像装置ｌにより撮像して
Ａ／Ｄ変換回路４によりディジタル量に変換する．次に
ＨＬＳ変換回路５において前述のように変換して画像メ
モリ６に格納する。その後評価すべき色パターンを撮像
装置１と照明回路３により撮倣して同様にメモリ６に格
納してから、画像処理回路７においてＨＬＳの各僅につ
いて比較照合する．差が小さい時は類似する色と判断で
きる．
［発明が解決しようとする課題］
人間の目は色対比効果によって実在しない色を感じた後
の状態で評価を行っている。しかし、物理的計測による
自動評価は機械的に状態そのままを評価するのみである
から、機械的な画像評価装置は人間と同様な評価が出来
なかった．本発明の目的は前述の欠点を改善し、色対比
効果によって起こる人間の色感覚のずれを補正し、物理
的計測によっても人間と同様に評価できるカラー画像評
価装置を提供することにあるや［課題を解決するための
手段］
第１図は本発明の原理構成を示す図である。第１図にお
いて、１は撮像装置、２は色パターンの例、４はＡ／Ｄ
変換回路、５はＨＬＳ変換回路、６は画像メモリ、７は
画像処理回路、８は色対比効果演算回路を示す，
色パターンを撮像装置１により撮像した信号を、Ａ／Ｄ
変換回路４によりＡ／Ｄ変換を行い、ＨＬＳ変換回路５
を介して画像メモリ６に格納し、次いで画像処理回路７
に印加してカラー画像評価を行う装置において、本発明
は下記の構或としている．即ち、
対比色を物理色と誘導色の合成ベクトルとして求める色
対比効果演算回路８を具備し、該色対比効果演算回路８
に前記画像メモリ６から読出したデータを人力させて演
算し、その出力を画像処理回路−７に印加することであ
る．［作用］
第ｌ図に示す本発明の構或において、予め撮像装置１に
より撮像した基準色パターン２の画像データをＡ／Ｄ変
換とＨＬＳ変換した後、画像メモリ６に格納しておく．
次に評価すべき色を撮像装置１で撮像し、同様に画像メ
モリ６に格納する．その格納された色データは、物理的
計測による色そのものである．本発明は色対比効果演算
回路８において、この物理的計測により得た色に対し、
人間の視覚が誘導色を感じた場合の見え方を予測するた
めに対比色を演算し、それを画像処理回路７に出力して
評価を行う．対比色を得る時、本発明の演算回路８にお
いては、物理色と誘導色とをそれぞれ色度図上のベクト
ルとして扱い、対比色は両色ベクトルを合威して演算す
る。In FIG. 7, a certain color pattern to be used as a "standard" for evaluation is previously imaged by an imaging device 1 and converted into a digital quantity by an A/D conversion circuit 4. Next, the HLS conversion circuit 5 converts the image as described above and stores it in the image memory 6. Thereafter, the color pattern to be evaluated is photographed using the imaging device 1 and the illumination circuit 3 and similarly stored in the memory 6, and then the image processing circuit 7 compares and collates each HLS. When the difference is small, the colors can be judged to be similar. [Problems to be Solved by the Invention] Human eyes evaluate non-existent colors after sensing them due to color contrast effects. However, automatic evaluation using physical measurements only mechanically evaluates the state as it is, so mechanical image evaluation devices were not able to perform evaluations similar to those performed by humans. An object of the present invention is to improve the above-mentioned drawbacks, to provide a color image evaluation device that corrects deviations in human color perception caused by color contrast effects, and can perform evaluations in the same manner as humans through physical measurements. Means for Solving the Problem] FIG. 1 is a diagram showing the basic configuration of the present invention. In FIG. 1, 1 is an imaging device, 2 is an example of a color pattern, and 4 is an A/D
A conversion circuit, 5 is an HLS conversion circuit, 6 is an image memory, 7 is an image processing circuit, and 8 is a color contrast effect calculation circuit.
The conversion circuit 4 performs A/D conversion, and the HLS conversion circuit 5
is stored in the image memory 6 via the image processing circuit 7.
The present invention has the following structure in an apparatus for performing color image evaluation by applying That is, the color contrast effect calculation circuit 8 is provided with a color contrast effect calculation circuit 8 that calculates a contrast color as a composite vector of a physical color and an induced color.
Then, the data read out from the image memory 6 is manually operated, and the output thereof is applied to the image processing circuit 7. [Operation] In the configuration of the present invention shown in FIG. 1, the image data of the reference color pattern 2 imaged by the imaging device 1 is stored in the image memory 6 after A/D conversion and HLS conversion.
Next, the color to be evaluated is imaged by the imaging device 1 and similarly stored in the image memory 6. The stored color data is the color itself as determined by physical measurements. In the present invention, in the color contrast effect calculation circuit 8, for the color obtained by this physical measurement,
Contrasting colors are calculated to predict how the human eye will perceive the guiding color, and the results are output to the image processing circuit 7 for evaluation. When obtaining a contrasting color, the calculation circuit 8 of the present invention treats the physical color and the induced color as vectors on a chromaticity diagram, and calculates the contrasting color by combining both color vectors.
［実施例］
本発明の実施例として、色対比効果演算回路８について
詳細に説明する．まず、第２図は誘導色を求めることの
説明図、第３図は色度図上における対比色合成を説明す
る図である。[Embodiment] As an embodiment of the present invention, the color contrast effect calculation circuit 8 will be described in detail. First, FIG. 2 is an explanatory diagram of determining the induced color, and FIG. 3 is a diagram illustrating the composition of contrasting colors on the chromaticity diagram.
第２図において、Ｒ−Ｇ方向とＹ−Ｂ方向は反対方向で
はあるが、それらは互いに直交していない方向であり、
それは色度図上において、人間の目にそれぞれ純粋な色
（固有色）と感じる方向である．ただし座標系は前述の
ａ＊ ｂ＊をとっている．第２図において「赤」系統で
物理色Ａと示す色を人が見たとき、第６図Ａに示す図に
おいて同色の波長（例えば色Ａが６４０ナノメートルで
あればその波長）に対応する誘導効果の振幅値をＧ方向
にその振幅ｇとして取る。同一人がＹ−Ｂ反対？系にお
いて同色Ａに対する誘導効果（第６図Ｂに示すもの）の
振幅値をＢ方向にその振幅ｂとして取る．次に後述する
誘導色変換係数ｋ■，ｋ１を振幅ｇ及びｂに掛け合わせ
たベクトルについて、それを合威して物理色Ａに対する
誘導色１Ｍ （白大矢印）を求める．このｋＡｌ＋
ｋａｔを求めるためには、第６図について説明した誘
導効果を複数の人について実験し、各波長毎に各人の感
じ方を示した振幅値ｇ’．ｇ”−，， ｂ ｔ ．
ｂ ｌｊ−・を、例えば加算平均し、ｇ，ｂとして予め
求めておく．誘導色を求めるためのベクトル合成を式で
示すと、ＩＡ−ｋ■・ｇ＋ｋＡｚ・ｂ
となる。In FIG. 2, the R-G direction and the Y-B direction are opposite directions, but they are not orthogonal to each other,
This is the direction on the chromaticity diagram that the human eye perceives as a pure color (inherent color). However, the coordinate system is a* b* mentioned above. When a person sees the color shown as physical color A in the "red" family in Figure 2, it corresponds to the wavelength of the same color (for example, if color A is 640 nanometers, that wavelength) in the diagram shown in Figure 6 A. The amplitude value of the induced effect is taken as its amplitude g in the G direction. Is the same person against Y-B? In the system, take the amplitude value of the induction effect (shown in Figure 6B) for the same color A as its amplitude b in the B direction. Next, the induced color 1M (large white arrow) for the physical color A is obtained by combining the vectors obtained by multiplying the amplitudes g and b by the induced color conversion coefficients k■, k1, which will be described later. This kAl+
In order to obtain kat, the induction effect described in FIG. 6 is tested on multiple people, and the amplitude value g'. g"-,, b t.
g and b are determined in advance by averaging, for example, b lj-. The vector composition for determining the induced color is expressed as IA-k.g+kAz.b.
そして他の物理色がＣであれば、誘導色■。はＩＣ−ｋ
Ｃ１゜ｒ＋ｋＢ０ｙ
となる．
なおこのとき、人間の見え方において、標準色同士が等
間隔の差を有するような「均等色空間」の色度図を用い
る．
次に対比色を求める。第３図に示すように物理色Ｃによ
って誘導される誘導色■，を、物理色Ａと合威したもの
を対比色ＡＣとする．そのためＡＣ−Ａ＋ＩＣ （
黒太夫印：ＩＣ）色パターンとして隣接する物理色Ｃが
存在したとき物理色Ｃについての対比色Ｃ１は同様に、
ｃ，−ｃ＋ｉａ （白太矢印：■．〉となる．
第４図は以上の動作を示すフローチャートであって丸付
数字の順序に処理される．
色対比効果演算回路８においては、撮像した物理色Ａ，
ＣをＡｅ，Ｃａの対比色に演算して出力するので、両者
を画像メモリに格納する．その後は各々の撮像した物理
色を基準色と比較したり、撮像した複数の両物理色同士
を比較するなどの評価を画像処理回路において実行する
。If the other physical color is C, then the induced color ■. is IC-k
It becomes C1゜r+kB0y. At this time, we use a chromaticity diagram of a "uniform color space" in which standard colors have equal intervals of difference in the way humans see them. Next, find a contrasting color. As shown in Fig. 3, the induced color (2) induced by the physical color C is combined with the physical color A to form the contrasting color AC. Therefore, AC-A+IC (
Kurotayu seal: IC) When adjacent physical colors C exist as a color pattern, the contrasting color C1 for physical color C is similarly,
c, -c+ia (white arrow: ■.). Figure 4 is a flowchart showing the above operation, and the processing is performed in the order of the circled numbers. In the color contrast effect calculation circuit 8, the imaged physical Color A,
Since C is calculated and output as a contrasting color of Ae and Ca, both are stored in the image memory. Thereafter, the image processing circuit performs evaluations such as comparing each captured physical color with a reference color or comparing a plurality of captured physical colors with each other.
［発明の効果］
このようにして本発明によると、物理的計測によって得
られた色データに対し色対比効果を加味したデータに変
換しているから、一般のカラー画像を人間の目が行うこ
とと同様に評価が出来るため、評価装置を自動化するこ
とに有効である．第５図は赤色に対する各色の色対比効
果を、色対比効果演算回路が演算した結果の例を示す図
である．「赤」に対する白矢印は赤・緑の関係で合威さ
れた位置に対比色が見えることを示す．即ち第３図にお
ける黒太矢印のみを抜き出して示すことで、第３図にお
ける物理色Ｃを黄・青にした場合も同様に示している。[Effects of the Invention] In this way, according to the present invention, the color data obtained by physical measurement is converted into data that takes into account the color contrast effect, so that the human eye can easily process color images in general. It is effective for automating evaluation equipment because it can be evaluated in the same way as . FIG. 5 is a diagram showing an example of the results of calculation of the color contrast effect of each color with respect to red by the color contrast effect calculation circuit. The white arrow for "red" indicates that a contrasting color is visible at the position where red and green are combined. That is, by extracting and showing only the thick black arrows in FIG. 3, a case where the physical color C in FIG. 3 is yellow or blue is similarly shown.
第５図においてＲとＧのように補色関係にあ・る色「赤
」 「緑」は彩度が増加する方向（中心から離れる方向
）にシフトしている（２つの白矢印を参照〉．「赤」と
「橙」または「赤」と「黄」のように互いに色相が近い
色は、相手とする色の反対方向にシフトしていることが
判る。In Figure 5, the complementary colors ``red'' and ``green'' such as R and G are shifted in the direction of increasing saturation (away from the center) (see the two white arrows). It can be seen that colors having similar hues, such as "red" and "orange" or "red" and "yellow", are shifted in the opposite direction of the other color.
第１図は本発明の原理構戒を示す図、
第２図・第３図・第４図・第５図は本発明の実施例とし
て色対比効果演算回路の動作を説明する図、第６図は誘
導色関数の説明図、
第７図は従来の画像評価装置の構或を示す図である．
１−・一撮像装置
２・一・色パターン例
４−・Ａ／Ｄ変換回路
５−Ｈ Ｌ Ｓ （色相・明度
６・一画像メモリ
７・・一画像処理回路
８−・一色対比効果演算回路
・彩度）
変換回路FIG. 1 is a diagram showing the principle structure of the present invention. FIGS. 2, 3, 4, and 5 are diagrams explaining the operation of a color contrast effect calculation circuit as an embodiment of the present invention. The figure is an explanatory diagram of the induced color function, and Figure 7 is a diagram showing the structure of a conventional image evaluation device. 1-.1 Imaging device 2.1.Color pattern example 4-.A/D conversion circuit 5-HLS (hue/brightness 6.1 image memory 7..1 image processing circuit 8-.1 color contrast effect calculation circuit・Saturation) Conversion circuit
Claims (1)
／Ｄ変換回路（４）によりＡ／Ｄ変換を行い、ＨＬＳ（
色相・明度・彩度）変換回路（５）を介して画像メモリ
（６）に格納し、次いで画像処理回路（７）に印加して
カラー画像評価を行う装置において、 対比色を物理色と誘導色の合成ベクトルとして求める色
対比効果演算回路（８）を具備し、該色対比効果演算回
路（８）に前記画像メモリ（６）から読出したデータを
入力させて演算し、その出力を画像処理回路（７）に印
加すること を特徴とするカラー画像評価装置。[Claims] A signal obtained by imaging a color pattern by an imaging device (1) is
A/D conversion is performed by the /D conversion circuit (4), and HLS (
In a device that evaluates a color image by storing it in an image memory (6) via a hue/brightness/saturation conversion circuit (5) and then applying it to an image processing circuit (7), a contrasting color is derived as a physical color. The color contrast effect calculation circuit (8) is provided with a color contrast effect calculation circuit (8) for obtaining a color composite vector, and the color contrast effect calculation circuit (8) inputs and calculates data read from the image memory (6), and its output is subjected to image processing. A color image evaluation device characterized in that a voltage is applied to a circuit (7).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP1187966A JPH0352082A (en) | 1989-07-20 | 1989-07-20 | Color image evaluating device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP1187966A JPH0352082A (en) | 1989-07-20 | 1989-07-20 | Color image evaluating device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPH0352082A true JPH0352082A (en) | 1991-03-06 |
Family
ID=16215271
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP1187966A Pending JPH0352082A (en) | 1989-07-20 | 1989-07-20 | Color image evaluating device |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH0352082A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008267129A (en) * | 2007-04-17 | 2008-11-06 | *** ▲言▼ | Boring drill |
| US8055071B2 (en) | 2007-03-16 | 2011-11-08 | Nikon Corporation | Image processing apparatus, imaging apparatus and recording medium storing image processing program |
-
1989
- 1989-07-20 JP JP1187966A patent/JPH0352082A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8055071B2 (en) | 2007-03-16 | 2011-11-08 | Nikon Corporation | Image processing apparatus, imaging apparatus and recording medium storing image processing program |
| JP2008267129A (en) * | 2007-04-17 | 2008-11-06 | *** ▲言▼ | Boring drill |
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