Color Texture Analysis: A Survey

In the field of image processing, texture features and color are fundamental visual cue with complementary roles. They used in many applications a large variety areas such as quality control, content-based retrieval, remote sensing, industrial inspection, surface object recognition, medical analysis. For this purpose, number algorithms have been proposed for feature extraction. Some them dedicated to gray-scale images while others aim at processing both texture. It has shown that, cases, use improves performance gray level classification. This paper provides comprehensive survey extraction methods that consider information. We propose categorization these into seven classes, two being very recent. each method, we present concept, advantages drawbacks, give examples application.