Mussarat Yasmin, Sajjad Mohsin, Isma Irum, Muhammad Sharif
COMSATS Institute of Information Technology, Islamabad, 44000, Pakistan
Abstract: Efficient content based image retrieval has been proposed in this study by combining shape and color features and relevance feedback. In this era of digital communication, images are everywhere and these images consist of shape and color. For true image representation it is necessary to represent the shape correctly semantically. Only in this case accurate matching and retrieval can be performed. In these days navigation through image databases is very common. For correct image search and retrieval, the proposed method has been proved to be efficient and having better performance with the help of experimental results. Proposed method has also been compared with existing state of art methods that clearly shows its outperformance.
[Mussarat Yasmin, Sajjad Mohsin, Isma Irum, Muhammad Sharif. Content Based Image Retrieval by Shape, Color and Relevance Feedback. Life Sci J 2013;10(4s):593-598] (ISSN:1097-8135). http://www.lifesciencesite.com. 91
Keywords: Color Histogram, Image Matching, Image Search, Probabilistic Weighting, Shape Descriptor