An Image Segmentation Method of Underwater Targets Based on Active Contour Model

Abstract:

The underwater images are disturbed with low signal to noise ratio and edge blur, because there are the light scattering and absorption effects. If the traditional thresholding method is used directly to segment underwater images, it will usually lead to be less effective to process underwater images. An image segmentation method of underwater target based on active contour model was proposed in this paper. Firstly, using Canny edge detection algorithm to detect the edges of the original image to obtain the information of a crude outline, then the algorithm based on C-V active contour model to segment underwater target images was addressed. The images processing results based on threshold segmentation method and C-V model method were compared. Experiments demonstrate the effectiveness of the proposed algorithm for underwater targets images segmentation.

• Periodical: Applied Mechanics and Materials (Volumes 511-512)
• Pages: 457-461
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.511-512.457
• Online since: February 2014
• Authors: Tao Liu*, Lei Wan, Xing Wei Liang
• Keywords: Active Contour Model, C-V Model, Image Segmentation

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