计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (7): 208-210.

• 图形、图像、模式识别 • 上一篇    下一篇

基于模糊推理的边缘检测新算法

张喜平1,薛丽霞2,杨 帆2,王佐成1   

  1. 1.重庆邮电大学 软件学院,重庆 400065
    2.重庆邮电大学 计算机学院,重庆 400065
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-03-01 发布日期:2011-03-01

New edge detection algorithm based on fuzzy inference

ZHANG Xiping1,XUE Lixia2,YANG Fan2,WANG Zuocheng1   

  1. 1.Software College,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
    2.College of Computer,Chongqing University of Posts and Telecommunications,Chongqing 400065,China

  • Received:1900-01-01 Revised:1900-01-01 Online:2011-03-01 Published:2011-03-01

摘要: 研究了原有的基于模糊推理的边缘检测算法。在分析原有算法存在问题的基础上,提出了一种新的模糊化规则,利用方向灰度对比度去确定边缘隶属度值,增加了去除伪边缘的规则,使得边缘细化。对原有算法和新算法进行了品质因素和平均运行时间的算法性能的对比、分析。

关键词: 模糊推理, 模糊规则, 边缘检测, 边缘隶属度

Abstract: This paper analyzes the original about edge detection algorithm based on fuzzy inference.Based on analysis of the original algorithm,new fuzzy rules are proposed that use the contrast of gray-scale’s direction to determine the value of edge’s membership and increase the rules to remove false edge and make edge refined.It compares the quality factors and the average running time between the original algorithm and new algorithm.

Key words: fuzzy inference, fuzzy rules, edge detection, edge membership