A New Color-Texture Approach for Industrial Products Inspection
Moulay A. Akhloufi, Xavier Maldague, Wael Ben Larbi · Journal of Multimedia · 2008
Abstract—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. I.