Content-Based Image Retrieval Using Features Extracted From Block Truncation Coding

In our paper the technique used to Content Based Image Retrieval (CBIR) by using the ODBTC (Ordered-dither block truncation coding) for generation of images. In this algorithm actual image will get converted in RGB (Red, Green, and Blue) format and its appropriate bitmap image format. There are two image features are proposed to an index image, color co-occurrence feature (CCF) and Bit Pattern Image, those are inherit from ODBTC algorithm encoded data stream without any decoding process. BPF and CCF are simply inherit from two ODBTC quantizer also bitmap. Proposed technique is better-quality techniques to block truncation coding image retrievals scheme and further earlier methods, as well as it proves to facilitate ODBTC structure is not only appropriate for image firmness, since its straightforwardness , other than it propose trouble-free and efficient descriptor to index images in CBIR structure.