现代电子技术2016，Vol.39Issue(15)：32-37,6.DOI:10.16652/j.issn.1004-373x.2016.15.009
PSO约束优化耦合直方图均衡化的图像增强算法
Image enhancement algorithm based on PSO constraint optimization and histogram equalization
摘要
Abstract
Since the mean shift may generate in the current image enhancement algorithm when the grayscale normalization is redistributed,and it is difficult to effectively preserve the image detailed information and protect the brightness,a new image enhancement algorithm based on PSO constraint optimization and histogram equalization is proposed. The Otsu method is intro⁃duced to segment the input image into the object subimage and background subimage,and the two subimages are respectively balanced to improve the contrast of object subimage and background subimage. And then the constraints of the object subimage and background subimage are computed according to the threshold weighted constraint. In this paper,the particle swarm optimi⁃zation(PSO)algorithm is introduced to optimize the main constraint parameters of object subimage and background subimage, and then determine the optimal constraints. The image was enhanced in combination with the optimal constraint value of the ob⁃ject subimage and background subimage. The experiment results show that,in comparison with the available image enhancement method,the proposed algorithm has better brightness protection and contrast enhancement effect,and can greatly preserve the detailed information of input image.关键词
直方图均衡化/最大类间方差法/对比度增强/粒子群优化Key words
histogram equalization/Otsu method/contrast enhancement/particle swarm optimization分类
信息技术与安全科学引用本文复制引用
周冰,李聪,邓娟..PSO约束优化耦合直方图均衡化的图像增强算法[J].现代电子技术,2016,39(15):32-37,6.基金项目
湖北省教育科学“十二五”规划2014年度课题（2014A080）；2014年国家级大学生创新创业训练计划项目（201413235003）；武汉科技大学城市学院教研项目 （）
