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Content Based Image Retrieval Using Wavelet Transform and Feedback Algorithm

ManjushaS , Nelwin Raj N R

As a result of advances in the Internet and new digital image sensor technologies, the volume of digital images produced by scientific, educational, medical, industrial, and other applications available to users increased dramatically. The difficulties faced by text-based retrieval became more and more severe. The efficient management of the rapidly expanding visual information became an urgent problem. So Content based image retrieval is popular nowadays. It is a technique which uses visual contents to search images from large scale image databases according to users’ interests. In this paper, the visual features are extracted using wavelet transform, color, texture and edge descriptors and the user feedback is done by Interactive Genetic algorithm.