Co-Occurrence Matrix-Based Statistical Model for Texture Analysis from Images
Texture surface analysis is very important for machine vision system. We explore Gray Level Co-occurrence Matrix-based 2nd order statistical features to understand image texture surface. We employed several features on our ground-truth dataset to understand its nature; and later employed it in a building dataset. Based on our experimental results, we can conclude that these image features can be useful for texture analysis and related fields.
H. Shahera and S. Seiichi, "Co-Occurrence Matrix-Based Statistical Model for Texture Analysis from Images", Applied Mechanics and Materials, Vol. 103, pp. 717-724, 2012