Composite wavelet based morphological correlation for continuous-scale-invariant pattern recognition

被引：0
|
作者：
Wang, Qu [1 ]
Chen, Li [1 ]
Zhou, Jinyun [1 ]
Lin, Qinghua [1 ]
机构：
[1] Guangdong Univ Technol, Sch Phys & Optoelect Engn, Guangzhou 510006, Guangdong, Peoples R China
来源：
OPTIK | 2012年 / 123卷 / 17期
基金：
中国国家自然科学基金;
关键词：
Wavelet matched filter; Composite filter; Scale-invariant recognition; JOINT-TRANSFORM-CORRELATOR; MATCHED FILTERS; IMPLEMENTATION;
D O I：
10.1016/j.ijleo.2011.10.001
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
A composite nonlinear correlation is proposed to perform invariant recognition for the input image with continuous-scale distortions. The proposed correlation can be considered as a summation of many composite wavelet matched filters. Every matched filter consists of a linear combination of binary slices that are generated from threshold decomposition of the training images, and an adaptive wavelet filter. The adaptive wavelet is optimized to produce the sparse image features. Computer simulations are carried out to prove the scale-invariance and noise robustness of the new scheme. (C) 2011 Elsevier GmbH. All rights reserved.
引用
收藏
页码：1562 / 1567
页数：6
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