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检测噪声图象边缘的概率集群识别方法
引用本文:常寿德. 检测噪声图象边缘的概率集群识别方法[J]. 山东大学学报(工学版), 1988, 0(2)
作者姓名:常寿德
作者单位:山东工业大学电子工程系
摘    要:提出一种噪声图象中检测边缘的新方法。该方法从图象的灰度概率域入手,将概率谱分为两个等面积的集群。通过判定群间距离检测图象的边缘。理论分析与实验结果表明这种方法具有较强的噪声抑制能力和边缘提取能力。

关 键 词:图象处理  模式识别  噪声抑制

DETECTING EDGES IN NOISE IMAGE BY CLUSTER PROBABILITY RECOGNITION
Chang Shoude. DETECTING EDGES IN NOISE IMAGE BY CLUSTER PROBABILITY RECOGNITION[J]. Journal of Shandong University of Technology, 1988, 0(2)
Authors:Chang Shoude
Affiliation:Dept. of Electronic Eng.
Abstract:A new approch to detect edge in noisy image is presented. The image histogram is divided into two equal-area clusters. By means of determining the distance between the clusters,the edges of image are detected. The theoretical and experimental results show that the new method has a fairly good property in both noise-restrain and edge-detecting.
Keywords:Image processing  Pattern recognition  Noise suppression
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