A Study of Image Fuzzy Enhancement Based on Genetic Algorithm
Keli Xing · Journal of Inner Mongolia University · 2011
In order to achieve the image fuzzy enhancement,genetic algorithm is used to get the best fuzzy parameter,the relative gray level of image pixel is selected as fuzzy features,and the fuzzy characteristics plane of the image is established by fuzzy mapping,and the enhancement of image is achieved by fuzzy transformation.The results of experiment show that,the best fuzzy parameter of different images are automatically selected by the method,which can improve the quality of images,make the details of images prominent,and effectively realize the enhancement of images.