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基于平方距离的对称共生矩阵阈值法
引用本文:范九伦,任静.基于平方距离的对称共生矩阵阈值法[J].电子学报,2011,39(10):2277-2281.
作者姓名:范九伦  任静
作者单位:西安邮电学院通信与信息工程学院,陕西西安,710121
基金项目: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.

关 键 词:图像分  阈值选取  对称共生矩阵
收稿时间:2010-05-24

Symmetric Co-Occurrence Matrix Thresholding Method Based on Square Distance
FAN Jiu-lun,REN Jing.Symmetric Co-Occurrence Matrix Thresholding Method Based on Square Distance[J].Acta Electronica Sinica,2011,39(10):2277-2281.
Authors:FAN Jiu-lun  REN Jing
Affiliation:FAN Jiu-lun,REN Jing(School of Communication and Information Engineering,Xi'an University of Posts and Telecommunications,Xi'an,Shaanxi 710121,China)
Abstract: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.
Keywords:image segmentation  threshold selection  symmetric co-occurrence matrix  
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