Evaluating the uniformity of color spaces and performance of color difference formulae

2010 ◽  
Author(s):  
Yusheng Lian ◽  
Ningfang Liao ◽  
Jiajia Wang ◽  
Boneng Tan ◽  
Zilong Liu
Keyword(s):  
Color Difference ◽  
Color Spaces ◽  
And Performance

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.

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*).

scholarly journals Measurement of injury rate on fish skin and performance comparison based on L*A*B* and HSV color spaces

2018 ◽  
Vol 159 ◽  
pp. 02010
Author(s):  
Minh Thien Tran ◽  
Jotje Rantung ◽  
Trong Hai Nguyen ◽  
Hak Kyeong Kim ◽  
Sang Bong Kim
Keyword(s):  
Color Space ◽  
Injury Rate ◽  
Performance Comparison ◽  
Binary Image ◽  
Color Spaces ◽  
Fish Skin ◽  
Hsv Color Space ◽  
A Value ◽  
Otsu’S Method ◽  
And Performance

This paper analyses and compares the performance of L*A*B* and HSV color spaces and applies them to calculate the injury rate on fish. To do these issues, the following steps are done. An original image is transformed into L*A*B and HSV color spaces. A channel “a” is separated from L*A*B* color space. In channel a, a formula to adjust “channel a value” is proposed to realize the shapes of injury on fish clearly and a new channel a is obtained by adjusting the channel a. The new channel “a” is converted into injury binary image by manual threshold. Otsu’s method is applied converted the original channel a image of fish shape into binary image. Finally, by calculating the number of pixels of areas of shape and total injury of fish, the injury rate is calculated. The steps of image processing of HSV color space is similar to L*A*B* color space. The proposed process are tested on fish.

Testing Uniform Color Spaces Using Printed Samples with Different Gloss and Color Difference Magnitudes

2012 ◽  
Vol 32 (7) ◽  
pp. 0733002
Author(s):  
黄敏 Huang Min ◽  
刘浩学 Liu Haoxue ◽  
崔桂华 Cui Guihua ◽  
Luo M. Ronnier Luo M. Ronnier
Keyword(s):  
Color Difference ◽  
Color Spaces

scholarly journals Visual sensitivity to color errors in images of natural scenes

2006 ◽  
Vol 23 (3-4) ◽  
pp. 555-559 ◽  
Author(s):  
MIKEL A. ALDABA ◽  
JOÃO M.M. LINHARES ◽  
PAULO D. PINTO ◽  
SÉRGIO M.C. NASCIMENTO ◽  
KINJIRO AMANO ◽  
...  
Keyword(s):  
Paired Comparison ◽  
Color Difference ◽  
Visual Sensitivity ◽  
Hyperspectral Images ◽  
Natural Scenes ◽  
Color Spaces ◽  
Image Reproduction ◽  
Color Monitor ◽  
Visual Impact ◽  
Cielab Color

Simple color-difference formulae and pictorial images have traditionally been used to estimate the visual impact of color errors introduced by image-reproduction processes. But the limited gamut of RGB cameras constrains such analyses, particularly of natural scenes. The purpose of this work was to estimate visual sensitivity to color errors introduced deliberately into pictures synthesized from hyperspectral images of natural scenes without gamut constraints and to compare discrimination thresholds expressed in CIELAB and S-CIELAB color spaces. From each original image, a set of approximate images with variable color errors were generated and displayed on a calibrated RGB color monitor. The threshold for perceptibility of the errors was determined in a paired-comparison experiment. In agreement with previous studies, it was found that discrimination between original and approximate images needed on average a CIELAB color difference ΔEab* of about 2.2. Although a large variation of performance across the nine images tested was found when errors were expressed in CIELAB units, little variation was obtained when they were expressed in S-CIELAB units.

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