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基于模糊梯度法的边缘检测方法
引用本文:白景峰,赵学增,强锡富,杨延竹.基于模糊梯度法的边缘检测方法[J].控制与决策,2001,16(3):351-354.
作者姓名:白景峰  赵学增  强锡富  杨延竹
作者单位:哈尔滨工业大学机械工程及自动化系
基金项目:国家自然科学基金!项目 (396 70 6 0 7)
摘    要:根据图象边缘灰度的梯度变化,构造图象灰度模糊矩阵和描述边缘点的隶属函数,利用遗传算法实现隶属函数各参数的寻优过程,并由输出隶属度判断提取图象边缘点,实现了图象的边缘检测。实验表明,该方法能有效地描述边缘的穿越过程,并可改善检测结果。

关 键 词:边缘检测  隶属函数  模糊梯度法  图象处理  计算机
文章编号:1001-0920(2001)03-351-04
修稿时间:2000年5月30日

Edge Detection Based on Fuzzy Gradient Method
BAI Jing feng ,ZHAO Xue zeng ,QIANG Xi fu ,YANG Yan zhu.Edge Detection Based on Fuzzy Gradient Method[J].Control and Decision,2001,16(3):351-354.
Authors:BAI Jing feng  ZHAO Xue zeng  QIANG Xi fu  YANG Yan zhu
Affiliation:BAI Jing feng 1,ZHAO Xue zeng 2,QIANG Xi fu 1,YANG Yan zhu 2
Abstract:A fuzzy gradient method based on the character of gray gradient of the image edge is proposed. An image gray scale fuzzy matrix is constructed and a suitable membership function is selected. Genetic algorism is used to achieve the optimum parameters of the membership function. The edge points are determined and extracted according to the output of function. The edge detection is carried out. The experiment results show that this method has the ability to describe the edge crossing process and to improve the result of edge detection.
Keywords:edge detection  fuzzy gradient  membership function
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