Efficient Image Retireval Using Region Based Image Retrieval

Abstract

Early image retrieval techniques were based on textual annotation of images.Manual annotation of images is a burdensome and expensive work for a huge image database.It is often introspective, context-sensitive and crude.Content based image retrieval, is implemented using the optical constituents of an image such as shape, colour, spatial layout, and texture to exhibit and index the image.The Region Based Image Retrieval (RBIR) system uses the Discrete Wavelet Transform (DWT) and a k-means clustering algorithm to segment an image into regions.Each region of the image is represented by a set of optical characteristics and the likeness between regions and is measured using a particular metric function on such characteristics.