基于二维灰度直方图的蚁群图像分割  

Image Segmentation by Ant Colony Algorithm Based on Two-dimensional Gray Histogram

作　　者：杨海峰[1] 侯朝桢[2] 

机构地区：[1]中国人民解放军61081部队 [2]北京理工大学自动控制系

出　　处：《激光与红外》2005年第8期614-617,共4页Laser & Infrared

摘　　要：提出了一种基于二维灰度直方图的蚁群图像分割方法。该方法基于二维灰度直方图的灰度、邻域平均灰度及灰度频数进行蚁群模糊聚类,通过二维灰度直方图的一维最佳投影,设置精确的初始聚类中心来解决蚁群算法循环次数多、计算量大的问题;并针对具体应用,对聚类半径、信息激素和启发式引导函数进行了相应的修正。实验表明该算法速度快、划分特性好,可以准确地分割出目标。In the paper,a method of image segmentation by ant colony algorithm based on two-dimensional gray histogram is presented. The method introduces a ant colony algorithm into image segmentation in order to cluster the gray values,neighboring average gray values,frequencies of gray values in the two-dimensional gray histogram of a image. Aiming at the shortcoming of mass calculating of a ant colony algorithm, precise cluster centroid locations are gained by the best projection of a two-dimensional gray histogram. A cluster radius, pheromone and a heuristic function are modified for application. The experimental results show the algorithm is an effective method.

关 键 词：二维灰度直方图 图像分割 蚁群算法 模糊聚类 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]