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Journal ArticleDOI

Experimental comparison of color spaces for material classification

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TLDR
CIELAB markedly outperformed the other spaces followed by HSV and CIELUV and CIE XYZ came out as the worst performing space and no significant difference emerged among the performance of the other device-dependent spaces.
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.

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Citations
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References
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Journal ArticleDOI

Color information for region segmentation

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Journal ArticleDOI

An opponent-process theory of color vision.

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Proceedings ArticleDOI

Outex - new framework for empirical evaluation of texture analysis algorithms

TL;DR: The proposed Outex framework contains a large collection of surface textures captured under different conditions, which facilitates construction of a wide range of texture analysis problems.
Book

Colorimetry : understanding the CIE system

TL;DR: The history of colorimetry can be traced back to the 1931 CIE Resolutions on Colorimetry as mentioned in this paper, which were used for the first time by the International Institute of Colourimetry (IOC).
Book ChapterDOI

On the Significance of Real‐World Conditions for Material Classification

TL;DR: A first contribution of this paper is to further advance the state-of-the-art by applying Support Vector Machines to this problem and record the best results to date on the CUReT database.
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