Abstract: Image segmentation for analysis is a major aspect of perception and till date it is challenging issue for machine perception. Many years of study in computer vision prove that segmenting an image into meaningful regions for subsequent processing (e.g., pattern recognition) is just as hard problem as invariant pattern recognition. This paper discusses the major color-texture image segmentation approaches which treat the colour and texture pattern separately or integrally. And then review the various algorithms with most representative method with their advantages and limitations. Finally summarize the image segmentation methods designed to integrate more feature information, with high accuracy and satisfactory visual entirety.
Keywords: image segmentation, colour texture integration, feature extraction, colour texture analysis, pattern recognition.