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