On the Canny edge detector

被引：511

作者：

Ding, LJ ^{[1
]}

Goshtasby, A ^{[1
]}

机构：

[1] Wright State Univ, Dept Comp Sci & Engn, Russ Engn Ctr 303, Dayton, OH 45435 USA

来源：

PATTERN RECOGNITION | 2001年 / 34卷 / 03期

关键词：

edge detection; Canny edge detector; zero-crossing edges; missing edges; edge accuracy;

D O I：

10.1016/S0031-3203(00)00023-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Canny edge detector is widely used in computer vision to locate sharp intensity changes and to find object boundaries in an image. The Canny edge detector classifies a pixel as an edge if the gradient magnitude of the pixel is larger than those of pixels at both its sides in the direction of maximum intensity change. In this paper we will show that defining edges in this manner causes some obvious edges to be missed. We will also show how to revise the Canny edge detector to improve its detection accuracy. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

引用

页码：721 / 725

页数：5

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