Content Based Image Retrieval Using Combined Features (Color and Texture)

Image Retrieval is the field of study concerned with searching and retrieving digital images from a collection of database. Image retrieval attracts interest among researchers in the fields of image processing, multimedia, digital libraries, remote sensing, astronomy, database applications and others associate area. An effectual image retrieval system is able to operate on the collection of images to retrieve the applicable images based on the query image which conforms as closely as possible to human perception. Now a days, due to exponential increase in the size of the so called multimedia files in recent years causes retrieval of images from large datasets very crucial. The detonative growth of image data leads to the need of research and development of Image Retrieval. Two major research communities (database management and computer vision) study image retrieval from different perspectives, one being text-based and the other visual based [1].Text-based image retrieval techniques employ text to describe the content of the image while visual based or content-based image retrieval (CBIR) used visual features to describe the content of images.