Implementation of Generation of Image Content Descriptor Using Content-Based Image Retrieval

A photograph obtaining or receiving system is a computer system for scanning, searching and obtaining photograph from a large database of digital images. Several established and common methods of image retrieval make use of some method of adding metadata such as legends, keywords, or descriptions to the pictures so that retrieval can be accomplished over the notation words. Manual picture notation is delayed, heavy and expensive; to address this, there has been a huge amount of research done on automatic image notation. In the existing system various algorithm is used such as Image Compression Algorithm, Image Hiding Algorithm for Watermarking, Block Truncation Coding, Clifford Algebra which is used to define colour alteration, Digital Image Processing, Block Optimization and Arithmetic Coding based on Histogram, BTC with Assorted colour space, VQ codeword search Technique. An image retrieval system provides a well organised way to entrance or retrieve a set of homogeneous images by directly computing the image features from an image as reported by using different kinds of techniques as well as algorithms. In case of proposed system, image retrieval is available by utilizing the ODBTC encoded data stream to create the image features, namely Colour Co-occurrence and Bit Pattern features. As recorded in the experimental results, the offered scheme can produce the greatest average accuracy rate compared to various former schemes in the literature. As a result, the proposed scheme can be considered as a very aggressive applicant in the coloured image retrieval application.