ISSN : 1796-2048
Volume : 3    Issue : 3    Date : July 2008

A New Color-Texture Approach for Industrial Products Inspection
Moulay A. Akhloufi, Xavier Maldague, and Wael Ben Larbi
Page(s): 44-50
Full Text:
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This work presents an approach for color-texture classification of industrial products. An extension
of Gray Level Co-occurrence Matrix (GLCM) to color images is proposed. Statistical features are
computed from an isotropic Color Co-occurrence Matrix for classification. The following color
spaces are used: RGB, HSL and La*b*. New combination schemes for texture analysis are
introduced. A comparison with Local Binary Patterns (LBP) is also performed. The tests were
conducted in a variety of industrial samples. The obtained results are promising and show the
possibility of efficiently classifying complex industrial products based on color and texture features.

Index Terms
Color vision, texture analysis, classification, statistical features extraction.