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A Novel Approach to Texture classification using statistical feature
[article]
2011
arXiv
pre-print
Texture is an important spatial feature which plays a vital role in content based image retrieval. The enormous growth of the internet and the wide use of digital data have increased the need for both efficient image database creation and retrieval procedure. This paper describes a new approach for texture classification by combining statistical texture features of Local Binary Pattern and Texture spectrum. Since most significant information of a texture often appears in the high frequency
arXiv:1111.2391v1
fatcat:scro43jb5fdzvo6cu4no4mp7x4