基于网格和密度的图像增强算法  

Image intensification algorithm based on grid and density

作　　者：何子俊[1] 王鹏[1] 

机构地区：[1]成都信息工程学院并行计算实验室,四川成都610225

出　　处：《成都信息工程学院学报》2008年第6期634-636,共3页Journal of Chengdu University of Information Technology

基　　金：国家自然科学基金资助项目(60702075);中国博士后科学基金资助项目(20070410386)

摘　　要：提出了一种基于网格和密度的图像增强算法(IIA),这种算法是对图像中的像素点进行基于网格和密度的聚类,自动寻找到图像中需要增强的区域,然后进行增强处理。在此处理过程中可以有效忽略对图像中孤立点的增强,从而抑制噪声。由于算法中对单元网格的处理相互独立、无关联性,从而表现出较好的并行特性。A king of image intensification algorithm （IIA） based on the grid and density is presented. It clusters the pixel in the image based on the grid and density. The area in the image that needs to intensify is found automatically and the intensification treatment is made. In the processing the algorithm ignores the intensification of the isolated points in the image and restrains the noise. Independent from the unit grid management this algorithm has a better parallelism.

关 键 词：图像增强 像素 聚类 

分 类 号：TP393.01[自动化与计算机技术—计算机应用技术]