Underwater objection recognition using a coarse-to-fine method

Zhuofu Liu; Zhenpeng Liao; Enfang Sang

doi:10.1117/12.654918

3 November 2005 Underwater objection recognition using a coarse-to-fine method

Zhuofu Liu, Zhenpeng Liao, Enfang Sang

Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60431H (2005) https://doi.org/10.1117/12.654918
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

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.

Citation Download Citation

Zhuofu Liu, Zhenpeng Liao, and Enfang Sang "Underwater objection recognition using a coarse-to-fine method", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60431H (3 November 2005); https://doi.org/10.1117/12.654918

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