Subpixel edge location based on orthogonal Fourier-Mellin moments

被引:59
作者
Bin, T. J. [1 ]
Lei, Ao [1 ]
Jiwen, Cui [1 ]
Wenjing, Kang [1 ]
Dandan, Liu [1 ]
机构
[1] Harbin Inst Technol, Ultra Precis Opt & Elect Instrument Engn Ctr, Harbin 150001, Peoples R China
关键词
orthogonal Fourier-Mellin moment; subpixel edge location; rotation invariance;
D O I
10.1016/j.imavis.2007.07.003
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In order to satisfy the stringent requirements for edge location accuracies in such fields as medical image analysis and satellite remote sensing, an approach based on orthogonal Fourier-Mellin moments is proposed to use the lower radial orders and the rotation invariance of these moments to describe small objects in images, and edge location is accomplished by setting the edge in the vertical direction and analyzing the interrelationships among the orthogonal Fourier-Mellin moments with different orders and degrees, and consequently the specific characteristics of the edge can be fully extracted. Experimental results show that the proposed method can be used to achieve an edge location accuracy of 0.16 pixel for straight lines with noise and 0.23 pixel for curves with noise. It can therefore be concluded that the proposed method is an efficient approach to satisfy the stringent requirements for higher edge location accuracies in such fields as medical image analysis and satellite remote sensing. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:563 / 569
页数:7
相关论文
共 17 条
[1]   A rapid and automatic image registration algorithm with subpixel accuracy [J].
Althof, RJ ;
Wind, MGJ ;
Dobbins, JT .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1997, 16 (03) :308-316
[2]  
[崔继文 CUI Jiwen], 2005, [光学技术, Optical Technology], V31, P779
[3]   Robust and efficient Fourier-Mellin transform approximations for gray-level image reconstruction and complete invariant description [J].
Derrode, S ;
Ghorbel, F .
COMPUTER VISION AND IMAGE UNDERSTANDING, 2001, 83 (01) :57-78
[4]  
Ding Xing-hao, 2004, Journal of Applied Sciences, V22, P191
[5]  
GHOSAL S, 1993, PATTERN RECOGN, V26, P395
[6]   A new wavelet-based edge detector via constrained optimization [J].
Hsieh, JW ;
Ko, MT ;
Liao, HYM ;
Fan, KC .
IMAGE AND VISION COMPUTING, 1997, 15 (07) :511-527
[7]   Detection of curvilinear structures and reconstruction of their regions in gray-scale images [J].
Jang, JH ;
Hong, KS .
PATTERN RECOGNITION, 2002, 35 (04) :807-824
[8]   SUBPIXEL EDGE LOCALIZATION AND THE INTERPOLATION OF STILL IMAGES [J].
JENSEN, K ;
ANASTASSIOU, D .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 1995, 4 (03) :285-295
[9]   Invariant character recognition with Zernike and orthogonal Fourier-Mellin moments [J].
Kan, C ;
Srinath, MD .
PATTERN RECOGNITION, 2002, 35 (01) :143-154
[10]   Regularized adaptive high-resolution image reconstruction considering inaccurate subpixel registration [J].
Lee, ES ;
Kang, MG .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2003, 12 (07) :826-837