Sonar image spectral matting segmentation based on normalized cut

被引：0

作者：

Liu, Guangyu ^{[1
]}

Bian, Hongyu ^{[1
]}

Shen, Zhengyan ^{[1
]}

Shi, Hong ^{[2
]}

机构：

[1] Science and Technology on Underwater Acoustic Laboratory, Harbin Engineering University

[2] The General Armament Department

来源：

Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2012年 / 33卷 / 03期

关键词：

Image segmentation; Normalized cut; Sonar image; Spectral matting;

D O I：

10.3969/j.issn.1006-7043.201104075

中图分类号：

学科分类号：

摘要：

When applying spectral graph theory to sonar image segmentation, the results are often not ideal. To solve the problem, a sonar image segmentation method combining normalized cut and spectral matting was presented. Firstly, morphological transformation was used for sonar image pretreatment to reduce the effect of a complex background. Secondly, digital matting techniques were introduced and the Laplace equation of the normalized cut algorithm was changed to obtain the image transparency estimation for segmentation. Finally, the sonar image segmentation results could be obtained by transparency processing. The simulation experiment shows the effectiveness of the proposed algorithm. Compared to the traditional spectral segmentation method, this algorithm does not segment the background of a sonar image, and can extract the target region accurately, obtaining better and more detailed sonar image object segmentation results. This improvement is also conducive to later identification.

引用

页码：308 / 312

页数：4

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