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Proceedings Paper

Underwater objection recognition using a coarse-to-fine method
Author(s): Zhuofu Liu; Zhenpeng Liao; Enfang Sang
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Paper Abstract

In this paper, we develop a coarse-to-fine algorithm for recognizing underwater objects. For coarse recognition, a new gray-spatial histogram is proposed, which incorporates spatial information with gray compositions without sacrificing the robustness of traditional gray histograms. For fine recognition, an approach to wavelet transform-based recognition using feature normalization is presented. The combination of coarse and fine recognition reduces the computational cost without degrading the recognizing accuracy. Numerical experiments are given to demonstrate the performance of the new algorithm.

Paper Details

Date Published: 4 November 2005
PDF: 9 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60431H (4 November 2005); doi: 10.1117/12.654918
Show Author Affiliations
Zhuofu Liu, Harbin Engineering Univ. (China)
China Earthquake Administration (China)
Zhenpeng Liao, Harbin Engineering Univ. (China)
China Earthquake Administration (China)
Enfang Sang, Harbin Engineering Univ. (China)


Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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