[1]贾敬典,刘艳,李雷. 模糊图像边缘检测算法研究[J].计算机技术与发展,2017,27(07):62-64.
　JIA Jing-dian,LIU Yan,LI Lei. Investigation on Detection Algorithm for Fuzzy Image Edge[J].,2017,27(07):62-64.
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 模糊图像边缘检测算法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年07期
页码:
62-64
栏目:
智能、算法、系统工程
出版日期:
2017-07-10

文章信息/Info

Title:
 Investigation on Detection Algorithm for Fuzzy Image Edge
文章编号:
1673-629X（2017)07-0062-03
作者:
 贾敬典; 刘艳; 李雷
南京工业大学浦江学院
Author(s):
 JIA Jing-dian; LIU Yan; LI Lei
关键词:
 ; 边缘检测算法; 边缘梯度; 模糊边缘检测; 检测算子
Keywords:
 ; edge detection algorithm; edge gradient; fuzzy edge detection; detection operator
分类号:
TP301.6
文献标志码:
A
摘要:
 图像边缘对应着图像中灰度突变或不连续的位置,传统的微分边缘检测都是基于某种形式的图像梯度算法.将计算所得的边缘梯度值与特定阈值进行比较,若边缘梯度值超过了阈值,则该边缘就被设定为当前边缘.对于灰度变化明显的图像边缘,传统算法均能满足要求.但对于一些灰度变化不明显的图像模糊边缘,检测效果则不甚理想,甚至会无法检测出来.为此,提出了一种模糊边缘检测算法.该算法通过增强图像边缘的对比度,以提高图像边缘检测的效果,使之能够检测出更多的边缘特征.为验证所提出算法的效果,相对传统Sobel算法与Log算法进行了对比仿真实验.仿真实验结果表明,相对于传统的边缘检测算子,所提出的模糊边缘检测算法更具有优越性与有效性.
Abstract:
 Since the image edge corresponds to the gray mutation and/or discontinuous position of image,the traditional differential edge detection is the image gradient algorithm based on certain forms.In comparison with a predetermined threshold,if the calculated edge gradient value exceeds the threshold value,the edge is taken as the current edge.The traditional algorithm can meet the requirement for the image edges with distinct variation of gray level.But for certain indistinct gray level variation,the detection effect is not satisfactory,even especially not be detected.Therefore,a fuzzy edge detection algorithm has been proposed where more edge features can be detected via enhancement of image edge contrast to improve the detection effect.In order to verify and validate the proposed algorithm,experimental contrast simulations have been conducted with traditional Sobel algorithm versus Log algorithm.The results show that compared with the traditional edge detection operators,the proposed fuzzy edge detection algorithm is more superior and effective.

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更新日期/Last Update: 2017-08-22