The need for efficient content-based image retrieval system has increased hugely. Efficient and effective retrieval techniques of images are desired because of the explosive growth of digital images. Content based image retrieval (CBIR) is a promising approach because of its automatic indexing retrieval based on their semantic features and visual appearance. In this proposed system we investiga...

This paper proposes an effective and efficient approach to content-based image retrieval by integrating global visual features and fuzzy region-based color and texture features. The Cauchy function is utilized to fuzzify each independent regional color and texture feature for addressing the issues associated with the color/texture inaccuracies and segmentation uncertainties. The overall similar...

This letter presents a two-stage statistical approach for “exploring and explaining” a pictorial database, for content-based image retrieval systems. First, we describe how correspondence analysis provides image classes, as well as facilitates the understanding of the role of image primitives and attributes used to index pictures. Such understanding allows an intelligent choice of features, and...

This paper describes a method of introducing spatial consistency constraints in the process of matching set-based descriptors extracted from digital images. The proposed matching technique is guided by a rule that can be summarized as follows: a descriptor is important for the match if it is similar to some descriptor from the other image and its spatial neighbors are important. The resulting m...

Content-Based Image Retrieval has been a major area of research in recent years. Efficient image retrieval with high precision would require an approach which combines usage of both the color and texture features of the image. In this paper we propose a method for enhancing the capabilities of texture based feature extraction and further demonstrate the use of these enhanced texture features in...

A Content Based Image Retrieval System is a computer system for browsing, searching and retrieving images from a large database of digital images .Most common methods of image retrieval utilize some method of adding meta data such as captioning, keywords or description to the images so that retrieval can be performed over the annotation words. Content Based Image Retrieval (CBIR) deals with ret...

Searching for an object in a general image collection using current image retrieval systems, is still a problem. The retrieval results contain many unrelated images. In providing an effective and robust image database, objects in an image need to be extracted. Since the number of stored images can be very large, automation is an important aspect. Image indexing is a technique that extracts obje...