Implementation of Image Retrieval using Co-occurrence Matrix and Texton Co-occurrence matrix
Sunita P. Aware · 2012
This paper put forward a new method of co-occurrence matrix to describe image features. In this paper putting a new implemented work which is comparison with texton cooccurrence matrix to describe image features. Maximum work done successfully using texton co-occurrence matrix. A new class of texture features based on the co-occurrence of gray levels at points defined relative to edge maxima is introduced. These features are compared with previous types of cooccurrence based features, and experimental results are presented indicating that the new features should be useful for texture. The results demonstrate that it is much more efficient than representative image feature descriptors, such as the edge orientation auto-correlogram and the texton co-occurrence and the texton co-occurrence matrix. It has good discrimination power of texture features.