CONTENT BASED IMAGE RETRIEVAL USING COLOR AND TEXTURE

摘要

On internet there is large number of images present. To search an image of our interest is key issue. Generally images are fetched by its annotation however this is not much effective and efficient. Now, images are retrieved using their features which is very efficient technique called as content based image retrieval (CBIR). Different features are considered in this process; for e.g. color, shape, texture etc. Out of this for black-white images generally texture features are considered for better resuls whereas for color images color features are important. This paper aims to improve the performance of CBIR using texture and color features using Curvelet Transform (CvT).