检测噪声图象边缘的概率集群识别方法
The Cluster Probability Recognition for Detecting Edge in Noisy Image
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摘要: 本文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人手,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.Abstract: A new approach 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 the image are detected. The theoretical and experimental results show that the new method has a fairly good property in both noise suppression and edge detection.
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Key words:
- Image processing /
- noise suppression /
- pattern recognition
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