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Proceedings Paper

Feature extraction on detecting target in clutter background with wavelet transform
Author(s): Hui Dong; Chunjie Li; Shibo Chu; Wensheng Wang
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Paper Abstract

The wavelet transform has a lot of uses in the field of optical information processing. It's an effective technology applied to joint transform correlator system. It realizes the detection, identification and positioning of target. Joint transform correlator has not only high speed for identification but also high accuracy for positioning. This paper has discussed the application of Gauss wavelet function on identifying target in clutter background. In fact, it is difficult for joint transform correlator to identify target because the target image information which is collected by the imaging sensor has a lot of background noises. So we propose and demonstrate that the availability of using Gauss wavelet function. We use the method of wavelet transform and morphology algorithm to extract object edge, and get more sharp correlation point. Our computer simulation and optical experimental results showed that the image feature extraction performance of the proposed algorithm is effective and competitive to other image processing algorithm reported in the literature.

Paper Details

Date Published: 4 January 2008
PDF: 9 pages
Proc. SPIE 6837, Information Optics and Photonics Technologies II, 68371D (4 January 2008); doi: 10.1117/12.757493
Show Author Affiliations
Hui Dong, Changchun Univ. of Science and Technology (China)
Chunjie Li, Changchun Univ. of Science and Technology (China)
Shibo Chu, Changchun Univ. of Science and Technology (China)
Wensheng Wang, Changchun Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6837:
Information Optics and Photonics Technologies II
Guoguang Mu; Feijun Song; Francis T. S. Yu; Suganda Jutamulia, Editor(s)

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