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Gray Level Co-occurrence Matrices (GLCM) are one of the earliest techniquesused for image texture analysis. In this paper we defined a new feature calledtrace extracted from the GLCM and its implications in texture analysis arediscussed in the context of Content Based Image Retrieval (CBIR). Thetheoretical extension of GLCM to n-dimensional gray scale images are alsodiscussed. The results indicate that trace features outperform Haralickfeatures when applied to CBIR.

Gray Level Co-Occurrence Matrices: Generalisation and Some New Features