基于平方距离的对称共生矩阵阈值法  

Symmetric Co-Occurrence Matrix Thresholding Method Based on Square Distance

作　　者：范九伦[1] 任静[1] 

机构地区：[1]西安邮电学院通信与信息工程学院,陕西西安710121

出　　处：《电子学报》2011年第10期2277-2281,共5页Acta Electronica Sinica

基　　金：国家自然科学基金(No.60572133)

摘　　要：基于图像共生矩阵的阈值法是图像分割的一种基本方法,本文基于"灰度—灰度"对称共生矩阵,通过定义目标区域和背景区域的均值,提出了一个阈值分割方法.该方法和常见的基于对称共生矩阵阈值法相比,对图像的适应性更强,仿真实验验证了本文方法的有效性.Thresholding method based on graylevel co-occurrence matrix is a basic image segmentation method.The means of the object region and background region are defined based on symmetric co-occurrence matrix,and thresholding segmentation method is proposed.Compared with the common thresholding method based on symmetric co-occurrence matrix,the method is more adaptable to images.Simulation results verify the effectiveness of the method.

关 键 词：图像分割 阈值选取 对称共生矩阵 

分 类 号：TN911.73[电子电信—通信与信息系统]