The translation sensitivity of wavelet-based registration

被引：33
作者：
Stone, HS
Le Moigne, J
McGuire, M
机构：
[1] NEC Res Inst, Princeton, NJ 08540 USA
[2] NASA, Goddard Space Flight Ctr, Appl Informat SCi Branch CS, Greenbelt, MD 20771 USA
[3] MIT, Cambridge, MA 02139 USA
来源：
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1999年 / 21卷 / 10期
关键词：
image registration; image search; wavelet transform; correlation; low-pass filter; high-pass filter; Haar wavelet; Daubechies wavelet; multiresolution search;
D O I：
10.1109/34.799911
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper studies the effects of image translation on wavelet-based image registration. The main result is that the normalized correlation coefficients of low-pass Haar and Daubechies wavelet subbands are essentially insensitive to translations for features larger than twice the wavelet blocksize. The third-level low-pass subbands produce a correlation peak that varies with translation from 0.7 and 1.0 with an average in excess of 0.9. Translation sensitivity is limited to the high-pass subband and even this subband is potentially useful. The correlation peak for high-pass subbands derived from first and second-level low-pass subbands ranges from about 0.0 to 1.0 with an average of about 0.5 for Daubechies and 0.7 for Haar. We use a mathematical model to develop these results, and confirm them on real data.
引用
收藏
页码：1074 / 1081
页数：8
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