Grey Level Co-Occurrence Matrices: Generalisation and Some New Features
Bino Sebastian · International Journal of Computer Science Engineering and Information Technology · 2012
Grey Level Co-occurrence Matrices (GLCM) are one of the earliest techniques used for image texture analysis.In this paper we defined a new feature called trace extracted from the GLCM and its implications in texture analysis are discussed in the context of Content Based Image Retrieval (CBIR).The theoretical extension of GLCM to n-dimensional gray scale images are also discussed.The results indicate that trace features outperform Haralick features when applied to CBIR.