Image Indexing and Retrieval

Nowadays the WWW has rapidly growing with the expansion of image databases. From the huge amount of image databases, users have to retrieve relevant images by using an effective and efficient mechanism for image indexing and retrieval. Many techniques have come to fulfill this requirement. One way to fulfill this requirement is the traditional image database indexing and retrieval capabilities in which the image data has to be indexed and fully convert the image data to an electronic presentation. But there are many factors which prohibit the traditional image indexing including lower quality of text and higher cost. Problems of traditional image indexing has led to raise the interest level in investigating the techniques for retrieving images automatically by using intermediate features such as color, shape and texture etc. In this paper, the problem of image indexing and retrieval has been addressed in the context of Content-Based Image Retrieval (CBIR).