Detection of Low Contrast Targets Based on Lifting Scheme Wavelet Transform

被引：0

作者：

Chen, Xiaolin ^{[1
]}

Wang, Yanjie ^{[2
]}

机构：

[1] Chinese Acad Sci, Grad Univ, Changchun Inst Opt Fine Mech & Phys, Changchun, Jilin Province, Peoples R China

[2] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Image Proc Dept, Changchun, Jilin Province, Peoples R China

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-7, CONFERENCE PROCEEDINGS | 2009年

关键词：

image; detection; targets; lifting wavelet;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper present a fast algorithm for detection of low contrast objects by using wavelet filters based on lifting scheme. The advantage is robust to noise. According Swelden's, lifting wavelet filters are biorthogonal wavelet filters containing free parameters. We use reference image of targets to train the lifting terms, so that the learnt wavelet filters have the features of targets. Then applying such filters to the images including targets taken from camera system. We can detect the locations where the high frequency components are almost the same as those of the target image.

引用

页码：4349 / +

页数：2

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