Color Image Retrieval Using Mixed Binary Patterns

Content Based Image Retrieval (CBIR) system using Inter Space Local Binary Patterns (ISLBP) based features with high retrieval rate and less computational complexity is proposed in this paper. The property of LBP is it extracts the information based on distribution of edges in an image. This property made it a powerful tool for feature extraction of images in the data base. 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 plane with other color planes. Improved results in terms of computational complexity and retrieval efficiency are observed over recent work based on Local Binary Pattern (LBP) based CBIR system. The d1distance is used as similarity measure in the proposed CBIR system. KeywordsFeature Extraction; CBIR, Inter Space Local Binary Patterns; Image Retrieval.