3.[18-30]Graph Cut Based Local Binary Patterns for Content Based Image Retrieval

Information and Knowledge Management www. iiste. org ISSN 2224-5758 (Paper) ISSN 2224-896X (Online) Vol 1, No. 1, 2011 18 | P a g e www. iiste. org Graph Cut Based Local Binary Patterns for Content Based Image Retrieval Dilkeshwar Pandey Department of... More

Information and Knowledge Management www. iiste. org ISSN 2224-5758 (Paper) ISSN 2224-896X (Online) Vol 1, No. 1, 2011 18 | P a g e www. iiste. org Graph Cut Based Local Binary Patterns for Content Based Image Retrieval Dilkeshwar Pandey Department of Mathematics Deen Bandhu Chotu Ram University of Science & Tech. Murthal, Harayana, India Email:dilkeshwar@hotmail. com Rajive Kumar Department of Mathematics, Deen Bandhu Chotu Ram University of Science & Tech. Murthal, Harayana, India E-mail: 2rajiv_kansal@yahoo. com Abstract In this paper, a new algorithm which is based on the graph cut theory and local binary patterns (LBP) for content based image retrieval (CBIR) is proposed. In graph cut theory, each node is compared with the all other nodes for edge map generation. The same concept is utilized at LBP calculation which is generating nine LBP patterns from a given 3×3 pattern. Finally, nine LBP histograms are calculated which are used as a feature vector for image retrieval. Two Less