A Novel Approach to Texture classification using statistical feature [article]

B. Vijayalakshmi, V. Subbiah Bharathi
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
more » ... els, the features are extracted by the computation of LBP and Texture Spectrum and Legendre Moments. Euclidean distance is used for similarity measurement. The experimental result shows that 97.77% classification accuracy is obtained by the proposed method.
arXiv:1111.2391v1 fatcat:scro43jb5fdzvo6cu4no4mp7x4