A Method of Medical Image Restoration Based on Genetic Algorithm
医学内窥镜图象的遗传恢复算法

Genetic algorithm is a soft computing method and new optimization searching algorithm. Being used in processing image, it is an intellective information processing method. When processing grayscale image, because the amount of data and computing of image is very large and traditional genetic algorithm has early convergence problems, the quality of image restoration is wrong. The paper designs a new chromsome coding method, and introduces the combination of simulated annealing and genetic algorithm into genetic operation in restoring of grayscale image. This new method of image restoration by the paper presented solved the problem that the quality of image restoration is bad, because of early convergence in traditional genetic algorithm. By experimenting of medicine image, it's results show the quality of image restoration using this new method is good than traditional genetic algorithm.