A REVIEW APPROACH ON CONTENT BASED IMAGE RETRIEVAL TECHNIQUES FOR NATURAL IMAGE RETRIEVAL

Content Based Image Retrieval (CBIR) is the technique for data retrieval especially images from a broad collection of database. The CBIR development requirement is increased due to growth in the images as well as the well known application in multiple fields. The common behavior to represent and index the images is color, texture, shape and spatial layout. Since the multimedia technologies development and network are very popular nowadays, the users with the standard retrieval techniques are not satisfied. Research: Based on retrieving the particular query, the content based image retrieval will arises. For retrieving the relevant images which meets the information needed by the user, an automated search is introduced for the images having the similar features. Motivation: The main motivation for developing the effective CBIR images arises due to the necessity for exploring the growing images. Several models and algorithms for image retrieval developed for past twenty years. This survey analyzed, compared and discussed about the techniques for content based image retrieval