Analysis of image retrieval techniques based on content

With extensive usage of multimedia databases in real time applications, there arises a great need for developing efficient techniques to find the images from huge digital libraries. To find an image from a database, every image is represented with certain features. Texture and color are two important visual features of an image. In this paper we compare and analyze performance of image retrieval using texture and color features. Further we propose and implement an efficient image retrieval technique using both texture and color features of an image. Experimental evaluation is carried out on Wang image database having 1000 unique images consisting of 10 classes of images.