Co-occurrence Approach Through Steerable Pyramid for Texture Classification

A jointly integrated model of Gray level co-occurrence matrix (GLCM) and steerable pyramid is proposed in this paper. The GLCM has been proved as an effective texture descriptor. Also steerable pyramid has achieved a lot of success in image classification. Hence, both the texture descriptors are integrated with an aim to enhance the success rate of co-occurrence the conventional descriptor. The performance of the suggested method is tested on Brodatz dataset. Simple k-NN classifier is utilized for classification. The results demonstrate that the recommended approach provides better classification rate than the original GLCM descriptor.