Digital Color Appearance Evaluation System

2015 ◽  
Vol 731 ◽  
pp. 72-75
Author(s):  
Jing Liang ◽  
Yu Tong Piao ◽  
Shu Jie Wang ◽  
Hao Huang
Keyword(s):  
Digital Image ◽  
Evaluation System ◽  
Chromatic Aberration ◽  
Color Difference ◽  
Color Appearance ◽  
Color Display ◽  
Image Conversion ◽  
Tristimulus Values ◽  
Different Color ◽  
Difference Calculation

The purpose of this study is to achieve chromatic aberration, color appearance attribute value fast computing; and observe conditions in different color appearance of digital image conversion between digital color appearance evaluation system. Digital color appearance evaluation system through analysis showed that the final form that can be color difference calculation, calculation of color appearance attributes forward and reverse computing, digital image conversion, to obtain a digital image tristimulus values, color point color display and so on.

Color Difference Evaluation Based on Image Color Appearance Model

2012 ◽  
Vol 200 ◽  
pp. 637-640
Author(s):  
Jing Liang ◽  
Yong Bin Zhao ◽  
Hui Gao
Keyword(s):  
Calculation Method ◽  
Color Difference ◽  
Color Images ◽  
Color Appearance ◽  
Appearance Model ◽  
Difference Formula ◽  
Difference Calculation

The iCAM (image color appearance model) as the most advanced modern color appearance model is constantly being put into use. In color images industry, the evaluation of the color difference is significant. This article will focus on color difference formula of image color appearance model and analysis its reasonable color difference calculation method, which reflects the advantages of image color appearance model.

Influence of Fe2+ on the Color Appearance of Yellow-Green Peridot

2011 ◽  
Vol 492 ◽  
pp. 370-373 ◽  
Author(s):  
Wei Xi Tang ◽  
Ying Guo ◽  
Li Xia Ma
Keyword(s):  
Color Space ◽  
Chromatic Aberration ◽  
Color Difference ◽  
Color Appearance ◽  
Chemical Compositions ◽  
Significance Level ◽  
Icp Ms ◽  
Difference Formula ◽  
Chromaticity Coordinates ◽  
Cie Lab

Twenty-eight yellow-green color of uniform, high clarity and similar thickness of 5 mm × 7 mm oval faceted peridots from Jiaohe Jilin province were examined by LA-ICP-MS and Color i5 to test their chemical compositions and L*, C* and ho. The correlations between Fe2+ and color parameters were analyzed, in order to establish the influence on the color appearance of Fe2+. The chemical formula of the twenty-eight peridots is (Mg1.84,Fe0.19)2.04[(Si0.982,Al0.001)0.983O4], which was calculated by oxygen atom. It reveals that 0.19 mol Fe2+ is concluded in one mol peridot, and Fe2+ is the colorant of peridot. Based on the CIE 1976 L*a*b* uniform color space, relationships between chromaticity coordinates a*, b* and chromaticity C* were analyzed by Two-way ANOVA, of which the results showing that the influence of b* on C* (rb*×C*=0.996) is much more prominent than a* on C* (ra*×C*= -0.383). By partial correlation analysis of the results calculated through CIE LAB color-difference formula, it can be discovered that lightness difference DL* has a better correlation with chromatic aberration DE* than DC* and DH*, whereas the significance level ρDC*×DE* > 0.05, rDH*×DE* > 0.05, it reveals that DE* is more sensitive to DL*. At the same time, L* changes the most with the contributions of Fe2+ compared with other parameters of peridot. It is concluded that, with the help of L*, Fe2+ has a further influence on the color appearance of peridot.

Application of CIEDE2000 Color Difference Formula in Jet Fuel Silver Strip Corrosion Color Recognition

2012 ◽  
Vol 531-532 ◽  
pp. 54-57 ◽  
Author(s):  
Li Ping Tong ◽  
Bin Peng ◽  
Yi Wei Fei ◽  
Hong Wei Yang
Keyword(s):  
Chromatic Aberration ◽  
Color Difference ◽  
Jet Fuel ◽  
Color Recognition ◽  
Difference Formula ◽  
Human Eyes

In order to eliminate the human eyes’ subjective differences in the level recognition of the jet fuel’s silver corrosion, chromatic aberration system is used to calculate chromatic aberration between the image of the standard colorimetric board and the experiment silver corrosion. By contrast, this paper chooses the least chromatic aberration to estimate the level of silver corrosion. The CIEDE2000 of the color difference formula, which can match with person vision theoretically, is applied in the chromatic aberration system at present, and can reflect the minor differences in color correctly. so this paper attempts to use CIEDE2000 color formula to determine the silver strip corrosion, which can reduce the influence of professionals’ subjective factors, and these results are more objective and accurate, which proves the actual feasibility of this method.

Binocular rivalry between identical retinal stimuli with an induced color difference

2008 ◽  
Vol 25 (3) ◽  
pp. 361-364 ◽  
Author(s):  
SANG WOOK HONG ◽  
STEVEN K. SHEVELL
Keyword(s):  
Binocular Rivalry ◽  
Binocular Disparity ◽  
Color Difference ◽  
Color Appearance ◽  
Neural Representation ◽  
Stereoscopic Depth ◽  
Perceptual Alternation ◽  
Physically Identical ◽  
Open Question

An open question in color rivalry is whether alternation between two colors is caused by a difference in receptoral stimulation or a difference in the neural representation of color appearance. This question was examined with binocular rivalry between physically identical lights that differed in appearance due to chromatic induction. Perceptual alternation was measured between gratings of the same chromaticity; each one was presented within a different patterned surround that caused the gratings, one to each eye, to appear unequal in hue because of chromatic induction. The gratings were presented dichoptically with binocular disparity so the rivalrous gratings appeared in front of the surround. Perceptual alternation in hue was found for the two physically identical chromaticities. Stereoscopic depth also was perceived, corroborating binocular neural combination despite color rivalry (Treisman, 1962). The results show that color rivalry is resolved after color-appearance shifts caused by chromatic context, and that color rivalry does not require competing unequal cone excitations from the rivalrous stimuli.

Comparative Experiment of Color Reproduction Methods

2014 ◽  
Vol 1051 ◽  
pp. 967-970
Author(s):  
Qi Jia ◽  
Xu Liang Lv ◽  
Wei Dong Xu ◽  
Jiang Hua Hu ◽  
Xian Hui Rong
Keyword(s):  
Polynomial Regression ◽  
Rapid Development ◽  
Color Space ◽  
Digital Camera ◽  
Color Difference ◽  
High Tech ◽  
Comparative Experiment ◽  
Color Reproduction ◽  
Different Color ◽  
Time Image

Digital camera which has the advantage of real-time image transferring and easily processing is more and more widely used in the packaging and printing industry with the rapid development of high-tech electronics industry. However, the color in digital camera is not accurate which affect the application. To minimize the color difference between the color in the digital camera and the real color, the color reproduction methods is developing. The field comparative experiment is carried out to compare the performance of color reproduction methods, such as polynomial regression algorithm in different color space, and color checker passport. The results show that fourth order polynomial regression color reproduction in XYZ color space has the best performance.

Color Features and Color Spaces Applications to the Automatic Image Annotation

Biometrics ◽  
2017 ◽  
pp. 1061-1083
Author(s):  
Vafa Maihami ◽  
Farzin Yaghmaee
Keyword(s):  
Image Processing ◽  
Digital Image ◽  
Image Annotation ◽  
Color Histogram ◽  
Experimental Results ◽  
Automatic Image Annotation ◽  
Color Spaces ◽  
Color Features ◽  
Different Color ◽  
Color Moment

Nowadays images play a crucial role in different fields such as medicine, advertisement, education and entertainment. Describing images content and retrieving them are important fields in image processing. Automatic image annotation is a process which produces words from a digital image based on the content of this the image by using a computer. In this chapter, after an introduction to neighbor voting algorithm for image annotation, we discuss the applicability of color features and color spaces in automatic image annotation. We discuss the applicability of three color features (color histogram, color moment and color Autocorrelogram) and three color spaces (RGB, HSI and YCbCr) in image annotation. Experimental results, using Corel5k benchmark annotated images dataset, demonstrate that using different color spaces and color features helps to select the best color features and spaces in image annotation area.

scholarly journals Polyaniline-based cadaverine sensor through digital image colorimetry

e-Polymers ◽  
2018 ◽  
Vol 18 (6) ◽  
pp. 465-471
Author(s):  
Alessandria Maeve Ocampo ◽  
Lee Romney Santos ◽  
Sam Julian ◽  
Mark Xavier Bailon ◽  
Joel Bautista
Keyword(s):  
Reaction Time ◽  
Digital Image ◽  
Redox Reaction ◽  
Limit Of Detection ◽  
Ammonium Persulfate ◽  
Android Application ◽  
Acid Base ◽  
Limit Of Quantification ◽  
Sensing Material ◽  
Different Color

AbstractThe detection of biogenic amines is important due to the their correlation with spoilage and toxicity. Polyaniline (PANI) is a polymer capable of changing color from blue to green and vice versa through acid-base reactions. This study tested the potential of PANI as a sensing material for the presence of cadaverine. PANI was fabricated on nylon cloths through the redox reaction of aniline and ammonium persulfate. The PANI-coated nylon cloths were exposed to different amounts of cadaverine in a fixed reaction time of 5 min. Through digital image colorimetry, plots of the different color values vs. concentration were prepared and the curve with the highest linearity was obtained using the yellow value. Values for limit of detection (LOD) and limit of quantification (LOQ) were calculated to be 0.8816 mm and 2.9386 mm, respectively. An Android application which analyzes the color values of the PANI image in relation to the amount of cadaverine was also developed.

Color difference formulae evaluation by method of adjustment

2014 ◽  
Vol 11 (1) ◽  
pp. 89-94 ◽  
Author(s):  
A. Abbasi ◽  
M. Vik ◽  
M. Vikova
Keyword(s):  
Color Difference ◽  
Psychophysical Method ◽  
Psychophysical Experiment ◽  
Statistical Measures ◽  
Color Differences ◽  
The Mean ◽  
Different Color ◽  
Method Of Adjustment ◽  
Visual Results ◽  
Test Color

This experiment was carried out to test color difference formulae by method of adjustment. 6 different color centers (Red, Yellow, Green, Blue-Green, Blue and Violet) were chosen for this psychophysical experiment. 336 virtual sample pairs were prepared. The mean color difference was three CIELAB units. Each pair was assessed by a panel of 15 observers using psychophysical methods called Method of Adjustment. These visual data were used to test color-difference formulae: CIELAB, CMC, CIE94, DIN99d and CIE2000 with the help of simple statistical measures i.e., PF/3 and Stress. It was found that the visual results obtained from psychophysical method of adjustment show that CIE94 as well as DIN99d still perform well for small color differences.

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