Edge Detection on Pantograph Slide Image

被引：0

作者：

Ma Li ^{[1
]}

Wang Ze-yong ^{[1
]}

Gao Xiao-rong ^{[1
]}

Wang Li ^{[1
]}

Yang Kai ^{[1
]}

机构：

[1] SW Jiaotong Univ, Coll Phys Sci & Technol, Chengdu, Peoples R China

来源：

PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年

关键词：

wavelet transform; edge detection; edge linking;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nowadays high-speed railway plays more and more important role in the traffic transportation. It is necessary to detect the wear on pantograph slide. This paper presents image processing algorithm to detect abrasion on pantograph slide. Discrete dyadic wavelet transform is applied to get the edges in the image, and Hough transform is used to extract the bottom and top edges of slide. It also utilizes edge point's features to eliminate the pseudo-edges. Practical test shows that this approach can effectively detect the slide' edges, and has high accuracy.

引用

页码：1016 / 1018

页数：3