[1]路游,郭江涛,孟庆鑫. 基于Hausdorff距离的图像边缘检测方法[J].计算机技术与发展,2015,25(08):71-78.
　LU You,GUO Jiang-tao,MENG Qing-xin. A New Method of Edge Detection Based on Hausdorff Distance[J].,2015,25(08):71-78.
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 基于Hausdorff距离的图像边缘检测方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年08期
页码:
71-78
栏目:
智能、算法、系统工程
出版日期:
2015-08-10

文章信息/Info

Title:
 A New Method of Edge Detection Based on Hausdorff Distance
文章编号:
1673-629X（2015)08-0071-08
作者:
 路游; 郭江涛; 孟庆鑫
 中国石油大学 北京 地球物理与信息工程学院
Author(s):
 LU You; GUO Jiang-tao; MENG Qing-xin
关键词:
 ; 图像处理; 边缘检测; Hausdorff距离; 特征图
Keywords:
 ; image processing; edge detection; Hausdorff distance; feature image
分类号:
TP391.41
文献标志码:
A
摘要:
 边缘检测方法大多基于一阶微分或二阶微分，但微分有局部属性。用Hausdorff距离可以从整体上检测边缘。首先对图像进行重采样，将图像拆分成两个集合，然后利用Hausdorff距离构造的边缘强度映射给两个集合的每个点赋值以获得特征图。由于图像边缘特征的局部性，先由边缘强度映射作用于子图获得局部特征图，再由局部特征图获得原图的特征图。最后给出一种利用特征图确定图像边缘的计算方法。通过实验可以看出，该方法能够获得单像素宽度边缘，并对线性边缘有很好的检出效果。
Abstract:
 Most edge detection methods are based on first-order or second-order differential,but these are local methods. Using Hausdorff distance to detect the edge of an image is a holistic method. Firstly,resample the image,and split the image into two sets,then get the fea-ture image by assigning a value for each point using the edge intensity mapping constructed by Hausdorff distance on the two sets. Since the edge features have local properties,in this paper,construct a map which can get local feature images using sub image and combine them into a feature image. Finally,a calculation method is given to get the edge image by feature image. It can be seen in experiment that this method can obtain the edge of a single pixel width,and have a good line-edge detection results.

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更新日期/Last Update: 2015-09-11