Perceptually uniform color spaces for color texture analysis: an empirical evaluation

By G. Paschos. IEEE Transactions on Image Processing, 2001

347 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/c68cf46bcfe46440ff5b2928932861ea94fc4db9

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In Atomic and Molecular Physics, and Optics

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In Media Technology

Citations in the corpus

Colour measurements by computer vision for food quality control – A review (2013, methodology): “In many researches, a linear transform that defines a mapping between RGB signals from a computer vision camera and a device independent system such as L*a*b* and L*u*v* was determined to ensure the correct colour reproduction (Mendoza & Aguilera, 2004; Paschos, 2001; Segnini et al., 1999a).”
Computer Vision System Applied to Classification of “Manila” Mangoes During Ripening Process (2014, methodology): “In the case of the conversion from the RGB color model to the CIELAB color space, the equations used corresponded to the illuminant D65.”
Color measurement in L ¿ a ¿ b ¿ units from RGB digital images (2006, methodology): “The published computational approaches that convert RGB into L * a * b * units use an absolute model with known parameters (Mendoza & Aguilera, 2004; Paschos, 2001; Segnini et al., 1999).”
Classification with color and texture: jointly or separately? (2004, methodology): “Paschos compared the eeectiveness of diierent color spaces when Gabor features computed separately for each channel were used as color texture descriptors [5].”
Computer-aided tumor detection in endoscopic video using color wavelet features (2003, background): “CIE-Lab is a perceptually uniform color space that has proved to perform better than for color texture analysis, but not in the presence of noise [53].”
Object tracking: A survey (2006, background): “However, the RGB space is not a perceptually uniform color space, that is, the differences between the colors in the RGB space do not correspond to the color differences perceived by humans [Paschos 2001].”