An algorithm on processing medical image based on rough-set and genetic algorithm

In this paper a method of image enhancement based on rough-set and genetic algorithm (GA) is developed.The application of rough-set on image enhancement is different from traditional methods. According to the class attribute of rough-set, we can divide the image into the marginal zone and non-marginal zone, and then enhance them separetely. In the process of rough-set classifying, optimizing the threshold value is achieved by applying GA, which can assure the optimization of the classifying. We combine rough-set classification and Genetic Algorithm together to enhance the image, since both of them have its own advantage on image enhancement. In fact, the results show that it can achieve a more ideal purpose.