Medical Image Enhancement Using Particle Swarm Optimization

Histogram equalization (HE) is the basic and most common method for enhancing the contrast in the image and produces the unnatural image. But the disadvantage of this method is that it causes indiscriminate and increases the contrast of background noise while decreasing the usable image. This paper introduces the Particle swarm optimization (PSO) algorithm for enhancing the medical image naturally. To enhance the contrast and detail in the image using PSO an objective fitness function is defined which is related to intensity, sum of edge pixel and entropy of the enhanced image. We compared our method with histogram equalization (one of the automatic enhancement technique). The results obtained shows the superiority of our method in objective evolution.