Survey on recent advances in content based image retrieval techniques

In current era there is a huge demand for computer vision and pattern recognition in the field of image processing. Basic visual techniques like color, shape, texture wasused in Content Based Image Retrievals (CBIR) to retrieve query image or sub region of image to find similar images in image database. CBIR, which makes use of the representation of visual content to identify relevant images also used for automatic indexing and retrieval of images depending upon contents of images known as features. Content based image retrieval implements retrieval based on the similarity described using extracted features. Varieties of techniques have been developed to improve the performance of CBIR. This paper mainly focuses on study of some recent CBIR techniques with the goal to design efficient system. This paper presents novel methods toretrieve relevant images from large image databases. Further it includes improvements achieved in the major areas like feature extraction, indexing, similarity matching, relevance feedback also in this paper we survey some technical aspects of current content-based image retrieval systems.