DocumentCode :
3002481
Title :
A Histogram-Based Denoising Algorithm in a Joint-Fourier Transform Correlator for Image Recognition
Author :
Fan, Jizhou ; Yi, Haili ; Xu, Lichao ; Zhao, Tingyu
Author_Institution :
Dept. of Phys., Zhejiang Sci-Tech Univ., Hangzhou, China
fYear :
2012
fDate :
21-23 May 2012
Firstpage :
1
Lastpage :
3
Abstract :
Noise and the weak cross-correlation peaks are two obstacles in the image recognition system based on joint-Fourier transform correlator. A histogram based filter is proposed to remove noise and amplify cross-correlation peaks. The experiment results illustrate this method is simple, fast but effective.
Keywords :
Fourier transform optics; image denoising; image recognition; optical correlation; optical filters; optical noise; histogram based filter; histogram-based denoising algorithm; image recognition system; joint-Fourier transform correlator; weak cross-correlation peaks; Correlation; Correlators; Filtering; Image recognition; Joints; Noise; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Photonics and Optoelectronics (SOPO), 2012 Symposium on
Conference_Location :
Shanghai
ISSN :
2156-8464
Print_ISBN :
978-1-4577-0909-8
Type :
conf
DOI :
10.1109/SOPO.2012.6270914
Filename :
6270914
Link To Document :
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