Underwater Image Segmentation Combining Dual-Band Enhancing and Edge-Grouping

Abstract:

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In order to make segmentation more robust and accurate in the underwater environment, a two-stage segmentation method is proposed in this paper. In preprocessing stage, a dual-band enhancing technique is used to preserve the target contour and at the same time eliminate the fake edges generated by the noises; in segmentation stage, edge-grouping method is chosen for its advantageous characteristics over noisy images. Experimental results show that the proposed method can get a better performance both in stability and accuracy.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

1794-1798

DOI:

10.4028/www.scientific.net/AMM.121-126.1794

Citation:

K. Zhao et al., "Underwater Image Segmentation Combining Dual-Band Enhancing and Edge-Grouping", Applied Mechanics and Materials, Vols. 121-126, pp. 1794-1798, 2012

Online since:

October 2011

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Price:

$35.00

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