A fast subpixel edge detection method using Sobel-Zernike moments operator

被引：173
|
作者：
Qu, YD [1 ]
Cui, CS
Chen, SB
Li, JQ
机构：
[1] Harbin Inst Technol, Sch Mat Sci & Engn, Harbin 150001, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Mat Sci & Engn, Shanghai 200030, Peoples R China
来源：
IMAGE AND VISION COMPUTING | 2005年 / 23卷 / 01期
基金：
中国国家自然科学基金;
关键词：
edge detection; subpixel edge detection; Sobel operator; Zernike moments operator;
D O I：
10.1016/j.imavis.2004.07.003
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a new edge detection approach combining Zernike moments operator with Sobel operator is proposed. This detection consists of two steps: Firstly, all probable edge points are detected using Sobel operator; Secondly, Zernike moments operator is used to relocate the edge precisely from the points detected by Sobel operator. In the second step, two masks (one real and one complex) are deduced based on Zernike moments theory, and a new criterion for edge point, i.e. magnitude of the complex mask, has been established. Testing of this new detection approach demonstrates the advantage of high precision in subpixel as Zernike moments operator and short run time 79% more efficient than Zernike moments operator. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码：11 / 17
页数：7
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