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Optical Engineering

Underwater color image segmentation method via RGB channel fusion
Author(s): Li Xuan; Zhang Mingjun
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Paper Abstract

Aiming at the problem of low segmentation accuracy and high computation time by applying existing segmentation methods for underwater color images, this paper has proposed an underwater color image segmentation method via RGB color channel fusion. Based on thresholding segmentation methods to conduct fast segmentation, the proposed method relies on dynamic estimation of the optimal weights for RGB channel fusion to obtain the grayscale image with high foreground-background contrast and reaches high segmentation accuracy. To verify the segmentation accuracy of the proposed method, the authors have conducted various underwater comparative experiments. The experimental results demonstrate that the proposed method is robust to illumination, and it is superior to existing methods in terms of both segmentation accuracy and computation time. Moreover, a segmentation technique is proposed for image sequences for real-time autonomous underwater vehicle operations.

Paper Details

Date Published: 2 February 2017
PDF: 12 pages
Opt. Eng. 56(2) 023101 doi: 10.1117/1.OE.56.2.023101
Published in: Optical Engineering Volume 56, Issue 2
Show Author Affiliations
Li Xuan, Harbin Engineering Univ. (China)
Zhang Mingjun, Harbin Engineering Univ. (China)


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