An algorithm on processing medical image based on rough-set and Genetic Algorithm

作者:Hu Yongmei*; Jiang Xiaona; Xin Fengqin; Zhang Tianyi; Yuan Jianping; Zhai Lihong; Guo Chunhua
来源:5th International Conference on Information Technology and Applications in Biomedicine (ITAB) in conjunction with the 2nd International Symposium and Summer School on Biomedical and Health Engineering (IS3BHE), 2008-05-30 to 2008-05-31.

摘要

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.