Medical Image Retrieval System Using PSO for Feature Selection

-Content-based image retrieval (CBIR) is a widely researched area, with various techniques proposed in literature for feature extraction, classification and retrieval. But, when database size increases, overall retrieval performance deteriorates significantly. Features in pattern recognition are individual measurable heuristic properties of the image under observation. Choosing discriminating/independent features is the key for the efficiency of pattern recognition algorithms to succeed in classification. In this paper, Information Gain is used to achieve the structure of a feature sets to find a subset of the original feature vector for efficient computation. The obtained features are optimized using Particle Swarm Optimization (PSO). Keywords--Content-based image retrieval, Information Gain, Particle swarm optimization, Multilayer Perceptron.