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.

The Color Recognition of Jet Fuel Silver Corrosion Images Based on Color Difference Formula

2012 ◽  
Vol 503-504 ◽  
pp. 1033-1036
Author(s):  
Li Ping Tong ◽  
Bin Peng ◽  
Yi Wei Fei
Keyword(s):  
Color Space ◽  
Color Difference ◽  
Recognition System ◽  
Jet Fuel ◽  
Color Spaces ◽  
Object Surface ◽  
Television System ◽  
Color Recognition ◽  
Difference Formula ◽  
Cie Lab

This article introduces the basic theoretical knowledge of the multi-color space and its color difference formula. By research and experiment, it validates that HSV and CIE L * a * b * color space and its corresponding color difference formula, which are used in the color recognition of jet fuel silver corrosion image, and their results are mostly in accordance with the recognition results by the naked eyes. And it also proves the feasibility of these two methods for the color recognition of jet fuel silver corrosion. Silver strip corrosion experiment must be tested as one of jet fuel corrosion detection items in jet fuel accepting, providing and storage process. The examination, whether jet fuel is qualified or not, is mainly due to silver corrosion’s color judgment. For computer visual system, the color is the character of object surface, and it is mankind recognition system to the object surface, light shine and visual condition’s comprehensive effect, and it has important function in the picture’s partition and identifying field. The color that is put up by visible light is continuous, and in order to measure and calculate conveniently, some scholars successively establish more than ten color spaces, which are mainly divided three types, by the HSV color space with RGB, HIS, and Munsell color spaces etc. According to particular application color space, YUV and YIQ and CMY color space are adopted by the television system, and CIE color space then includes CIE, XYZ, Lab and Luv etc. This article comparatively studies representative color space as well as RGB, HIS, CMY, YUV and CIE Lab color spaces, which are used for jet fuel silver strip corrosion image’s color recognition accuracy, and this article finally ensures a kind of color space and color difference formula which are applied to jet fuel silver strip corrosion image’s color recognition.

Contribution of Green Jadeite-Jade’s Chroma Difference Based on CIE 1976 L*a*b* Uniform Color Space

2010 ◽  
Vol 177 ◽  
pp. 620-623 ◽  
Author(s):  
Ying Guo ◽  
Jun Zhang ◽  
Tao Mo
Keyword(s):  
Color Space ◽  
Color Perception ◽  
Correlation Coefficients ◽  
Color Difference ◽  
Green Color ◽  
Difference Formula ◽  
Positive Linear Correlation ◽  
Cie Lab ◽  
Human Eyes ◽  
The Impact

The correlations between lightness and chroma, lightness difference and color difference, chroma difference and color difference were studied to evaluate the impact of lightness on color. Based on color difference formula CIE LAB in the uniform color space CIE L*a*b* it is learnt that H*ab of jadeite jade green colors has made little contribution to E*ab. Given the fact that human eyes are relatively sensitive to the color perception of lightness difference and that lightness and chroma affect each other, lightness of jadeites has been divided into two groups: while the lightness of green is relatively low (L*  19.52), lightness and chroma have positive linear correlation (correlation coefficient L*  C* = 0.971), which means the higher lightness the higher chroma and brings brighter green color; while L* > 19.52 , there is no one-to-one correspondence between lightness and chroma, and the highest chroma 77.64 can be reached when L* = 37.63. The high partial correlation coefficients L*ab  E*ab = 0.974 and C*ab  E*ab = 0.971 reveal that both L*ab and C*ab are not affected by the lightness of jadeite and are equally important to E*ab. It is concluded that the quality estimation of green color of Jadeite Jade should be primarily based on lightness which is the most intuitive factor and consistent with the color perception, and then followed by the evaluation of chroma and hue.

The Contribution of Co2+ to Blue Color of Synthetic Spinel

2011 ◽  
Vol 492 ◽  
pp. 400-403
Author(s):  
Ye Ma ◽  
Ying Guo
Keyword(s):  
Color Space ◽  
Measurement Instrument ◽  
Color Difference ◽  
Color Appearance ◽  
Color Measurement ◽  
Chemical Compositions ◽  
Blue Color ◽  
Color Changes ◽  
Specimen Processing ◽  
Relationship Of

Through to 110 pieces purity transparent and color uniform, 3 x 5 x 7mm blue synthetic spinel made with the flame fusion method on chemical compositions and color parameter measurement the Co2+ content and color changes, clear the influence on Co2+ relationship of blue synthetic spinels’ color appearance. Through LA-ICP-MS to analysis the cause of colorant content, proof that with Co2+, the increase of the content of synthetic spinel will shift blue to purple tone, and C* shows a parabola form with the drop of L*, 700 ppm ~ 900 ppm place in peak. DL* Î (3.55 ~ 76.94) with Co2+ Î (4.59 ppm ~ 1849 ppm) change the largest amount, DC* Î (-9.99 ~ 29.32) next, DH* Î (-20.34 ~ 4.67) compared with before two changes smallest. Co2+ content in 100ppm below, blue color of synthetic spinel with Co2+ content increased changes greatly; 500 ~ 1500 ppm, visually achieve optimal color (C* higher); above 1500ppm, because of the Co2+ overmuch make the color burn cause the overall decline of transparency, the change of L* tends to be gentle, C* decrease obviously. Use Color i5 in standard color measurement instrument lighting source D65, measured the lightness L*, specimen Color a* and b*, chroma C* and tonal angle ho, based on the uniform color space CIE 1976 L*a*b*, in lightness minimum L 9-10 specimen (processing data for standard to 9th), with the help of DE2000 benchmark for calculating formulas, the Color, the color difference train E* by partial correlation analysis card clearly degrees of off color changes L* has certain influence on rDL*×DE*= 0.996, while rDC*×DE*= -0.427, rDH*×DE*= -0.339. Conclusion, the bule color of synthetic spinel because of its Co2+ content changes main influencing L* to contribute to its color appearance.

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.

Evaluation of change in color of denim fabric after various industrial washing processes with different fiber composition

2014 ◽  
Vol 11 (2) ◽  
pp. 107-110
Author(s):  
Mushtaq Mangat ◽  
A. Abbasi ◽  
Jakub Wiener
Keyword(s):  
Color Space ◽  
Color Difference ◽  
Fiber Composition ◽  
Obvious Change ◽  
Washing Machines ◽  
Difference Formula ◽  
Denim Fabric ◽  
Cielab Color

Traditional denim made by using 100% cotton and novel denim made by using cotton in warp and spun PP in the weft were treated in 11 different ways on industrial garment washing machines with the help of various textile auxiliaries and pumice. There is an obvious change in color of denim. This change was measured by using Spectrophotometer. Reflectance was taken as a variable to observe the intensity of change. Color difference was measured by using the CIELab color difference formula 1976. Color space coordinates (L*, a*, b*) and color difference ΔE were calculated between the untreated denim and treated denim.

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.

Evaluation Accepted Small Color-Difference Samples by Using High Glossy Ink-Jet Paper

2011 ◽  
Vol 380 ◽  
pp. 179-182
Author(s):  
Jing Liang ◽  
Ning Fang Liao ◽  
Yu Sheng Lian ◽  
Yuan Yuan Wang
Keyword(s):  
Color Vision ◽  
Color Space ◽  
Visual Assessment ◽  
Color Difference ◽  
Normal Color Vision ◽  
Visual Color ◽  
Difference Formula ◽  
Ink Jet ◽  
Human Color Vision ◽  
High Range

In order to study the human color vision characteristics, the small color-difference discrimination threshold experiment at the 17 basic CIE color centers of high range of gloss color printed samples. A panel of 10 observers with normal color vision performed the visual assessment to 510 pairs of samples using admissibility method. The evaluation data of visual color-difference were obtained in CIELAB color space. The detailed comparision indicated that the data were used evaluate the four common color-difference formula, CIELAB, CIE94, CMC and CIEDE2000. The detailed analysis indicated that CIELAB recommended by CIE Performanced the best among the four modern color difference. For predicting very small color datas. The experimental data provides references for the improvement of uniform color space and color-difference formula.

scholarly journals Investigation of CIE color spaces for differences in color differentiation thresholds in different regions of the color locus

2021 ◽  
Vol 24 (3) ◽  
pp. 107-110
Author(s):  
Leonid D. Lozhkin ◽  
Alexander A. Kuzmenko
Keyword(s):  
Visual Perception ◽  
Significant Role ◽  
Color Space ◽  
Color Difference ◽  
International Commission ◽  
Color Spaces ◽  
Transmission Systems ◽  
Color Coordinates ◽  
Cie Lab

The equidistance of the color space plays a significant role in determining the color difference in color transmission systems. Strictly equal contrasting color spaces can be considered only those color spaces in which equal changes in the visual perception of color are provided with an equal change in the color coordinates in this color space. Currently, the International Commission on Lighting (CIE) has adopted a number of color spaces called equal-contrast. The article presents the results of the study of color spaces adopted by CIE for equal contrast, i.e. on the differences in the thresholds of color differentiation in different areas of the color locus. The article investigated such color spaces as CIE 1931 (RGB), CIE 1931 (x, y), CIE 1960 (u, v), CIE 1976 (u*, v*), CIE LAB (a*, b*).

Cr3+ Effect on the Correlation between Lightness Difference and Color Difference of Ruby Red

2010 ◽  
Vol 177 ◽  
pp. 624-627 ◽  
Author(s):  
Ying Guo ◽  
Xiang Li ◽  
Li Tian
Keyword(s):  
Correlation Analysis ◽  
Partial Correlation ◽  
Color Index ◽  
Color Change ◽  
Color Space ◽  
Color Difference ◽  
Partial Correlation Analysis ◽  
Significance Level ◽  
Red Color ◽  
The Impact

The correlations between of lightness, chroma, Cr3+ and color index were studied to analyze the impact of all these three elements on ruby red color; and with the color difference research, the lightness difference is testified to be the key affecting color appearance. Based on the uniform color space CIE 1976L*a*b*, the ruby displays the best red color when the content of Cr3+ is within (1555, 5183ppm), L* (32.64, 44.25) and ho  (354.14, 0.7). With the help of partial correlation analysis of color difference, it is illustrated that the correlation between L* and E* (r=0.999) is relatively higher than that between L* and E* (r=0.948); and with high significance level ( = 0.129) of H* and E*, it shows that H* has little impact on E*. It is concluded that the color change of ruby from red to purple are mostly affected by lightness change; lightness difference should be considered as the most important factor when evaluating the red color of ruby, and then followed by the chroma and hue jointly.

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