基于模糊推理的噪声图像边缘检测  

Edge Detection for Noisy Images Based on Fuzzy Reasoning

作　　者：郭芳侠[1] 梁娟[2] 王晅[1] 

机构地区：[1]陕西师范大学物理学与信息技术学院,西安710062 [2]常熟理工学院物理与电子工程学院,苏州215500

出　　处：《计算机工程》2010年第15期194-195,共2页Computer Engineering

基　　金：陕西省自然科学基础研究计划基金资助项目(2009JM8003)

摘　　要：对于噪声感染的图像,提出一种基于模糊推理的图像边缘检测方法。该方法将像素点的基本梯度与关联梯度作为模糊推理系统的输入变量,根据确定的模糊规则,运用模糊推理方法得到该点属于噪声的程度,从而去除由噪声引起的伪边缘,实现边缘检测。实验结果表明,与其他边缘检测方法相比,该方法可以获得较好的边缘特性,具有较强的抗噪性能。In order to detect edges from noisy images,a method for edge detection based on fuzzy reasoning is proposed.In the method,a fuzzy reasoning system is constructed,basic gradients and the correlated gradients are considered as the inputs of the fuzzy reasoning system to determine noisy membership degrees for candidates for edges.Experimental results show more edge information is observed and more noise is suppressed by the method compared with recent edge detection methods.

关 键 词：基本梯度 关联梯度 模糊推理 边缘检测 

分 类 号：N945[自然科学总论—系统科学]