Comparison of CBIR Using Texture Feature And Histogram Technique

In the present scenario image retrieval plays a vital role. The field of image retrieval has been an active research area for several decades and has been paid more and more attention in recent years as a result of the dramatic and fast increase in the volume of digital images. CBIR aims at finding image databases for specific images that are similar to a given query image based on its features. Users can query example images based on these features such as texture, color, region, shape and others. Target or close Images can be retrieved in a little fast if it is clustered in a right manner. For clustering, we use fuzzy- c mean clustering. In this way relevant images will be retrieved from database.