By Topic

A Histogram-Based Denoising Algorithm in a Joint-Fourier Transform Correlator for Image Recognition

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jizhou Fan ; Dept. of Phys., Zhejiang Sci-Tech Univ., Hangzhou, China ; Haili Yi ; Lichao Xu ; Tingyu Zhao

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.

Published in:

Photonics and Optoelectronics (SOPO), 2012 Symposium on

Date of Conference:

21-23 May 2012