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基于平方距离的对称共生矩阵阈值法 被引量：7

Symmetric Co-Occurrence Matrix Thresholding Method Based on Square Distance
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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.
作者 范九伦 任静
机构地区 西安邮电学院通信与信息工程学院
出处 《电子学报》 EI CAS CSCD 北大核心 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)
关键词 图像分割 阈值选取 对称共生矩阵 image segmentation threshold selection symmetric co-occurrence matrix
分类号 TN911.73 [电子电信—通信与信息系统]
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参考文献18

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二级参考文献23

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电子学报
2011年 第10期

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