Color image enhancement based on rough set and adaptive genetic algorithm
Zhuang Wen Wu · 2011
The paper combines rough set theory and adaptive genetic algorithm to enhance color image. First, regard the image as a knowledge system, and adopt classification method of rough set theory to combine image color attribute and noise attribute to classify the image, and then come into image boundary region and apply different enhancement algorithms to enhance the image. During rough set classification, use adaptive genetic algorithm to optimize threshold to obtain a best classification result. As image enhancement can be effectively carried out through practical application and verification, therefore, such algorithm has some certain application value.