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基于模糊推理的边缘检测
引用本文:孙福利,孔祥维. 基于模糊推理的边缘检测[J]. 西安石油大学学报(自然科学版), 2005, 20(5): 71-73
作者姓名:孙福利  孔祥维
作者单位:大连理工大学,电子与信息学院,辽宁,大连,116024
摘    要:针对传统基于边缘邻域的一阶或二阶导数的图像边缘检测方法对模糊边缘图像不敏感的问题,提出了基于模糊推理的边缘检测算法.根据边缘点附近灰度分布的特征确定模糊规则,用min-max重心法模糊推理该点的边缘隶属度,实现边缘检测.实际图像处理结果表明,与传统算法相比较,新算法检测边缘效果明显.

关 键 词:边缘特征  模糊推理  边缘检测
文章编号:1673-064X(2005)05-0071-03
修稿时间:2005-03-10

Edge detection of image based on fuzzy reasoning
SUN Fu-li,KONG Xiang-wei. Edge detection of image based on fuzzy reasoning[J]. Journal of Xian Shiyou University, 2005, 20(5): 71-73
Authors:SUN Fu-li  KONG Xiang-wei
Abstract:A new image edge detection method based on fuzzy reasoning is proposed to improve the insensitivity of traditional image edge detection method to image edge. The method determines the fuzzy programming of an edge point according to the features of the gray scale distribution near the point, and it fuzzily reasons the member-ship grade of the point using min-max mass centroid method. A case shows that the new image edge detection method is more effective than the traditional method.
Keywords:edge feature  fuzzy reasoning  image edge detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
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