7 June 2016 Experimental comparison of color spaces for material classification
Raquel Bello-Cerezo, Francesco Bianconi, Antonio Fernández, Elena González, Francesco Di Maria
Author Affiliations +
Abstract
This paper presents a comparison of color spaces for material classification. The study includes three device-independent (CIELAB, CIELUV, and CIE XYZ) and seven device-dependent spaces (RGB, HSV, YIQ, YUV, YCbCr, Ohta’s I1I2I3, and RG-YeB-WhBl). The pros and cons of the different spaces and the procedures for converting color data among them are discussed in detail. An experiment based on 12 different image data sets was carried out to comparatively evaluate the performance of each space for material classification purposes. The results showed that CIELAB markedly outperformed the other spaces followed by HSV and CIELUV. Conversely, CIE XYZ came out as the worst performing space. Interestingly, no significant difference emerged among the performance of the other device-dependent spaces.
© 2016 SPIE and IS&T 1017-9909/2016/$25.00 © 2016 SPIE and IS&T
Raquel Bello-Cerezo, Francesco Bianconi, Antonio Fernández, Elena González, and Francesco Di Maria "Experimental comparison of color spaces for material classification," Journal of Electronic Imaging 25(6), 061406 (7 June 2016). https://doi.org/10.1117/1.JEI.25.6.061406
Published: 7 June 2016
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CITATIONS
Cited by 22 scholarly publications.
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KEYWORDS
RGB color model

Calibration

Data conversion

Data acquisition

Image segmentation

Image classification

Imaging devices

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