ABSTRACT

118Technology enables the attainment, storage, transmission, and manipulation of a huge compendium of images. Content-based image retrieval (CBIR), interchangeably known as content-based visual information retrieval (CBVIR) and query by image content (QBIC), is a computer application using visual techniques of representation, organization, and search. In large databases, images are systematized by their content without human infringement instead of using annotation. In this case, image retrieval does not settle for keywords or annotations, but is merely founded on feature extraction from the images. The retrieval depends on the precise extraction of characteristics to describe the hidden contents of the images. CBIR retrieves, locates, and displays visually similar images to a specified query from an image database by a set of features and image descriptors. Furthermore, proper querying, indexing, matching, and searching methods are compulsory. To advocate this CBIR technique, pattern recognition, statistical techniques, signal processing, and computer vision are corporately set out.