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

Gray 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.

preprint2012arXivOpen access
Bino Sebastian VA. UnnikrishnanKannan Balakrishnan
Computer Vision
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Open access3 authors1 topic
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Bino Sebastian VA. UnnikrishnanKannan Balakrishnan

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