Inter Space Local Binary Patterns for Image Indexing and Retrieval

In this paper, inter space local binary pattern (ISLBP) algorithm for content based image retrieval (CBIR) is proposed. First the image is separated into red(R), green(G), and blue(B) color spaces, and these are used for inter space local binary patterns (ISLBP), which are evaluated by taking into consideration of local difference between the center pixel and its neighbors by changing center pixels of one color space with other color space. Local binary pattern (LBP) extracts the information based on distribution of edges in an image. Finally, inter LBP histograms are constructed between the color spaces for image retrieval. The experimentation has been carried out for proving the worth of our algorithm. It is further mentioned that the databases considered for experiment viz. Corel 1000 and MIT VisTex databases. The results after being investigated show a significant improvement in terms of their evaluation measures as compared to LBP on RGB spaces separately.