哈尔滨工程大学学报2012，Vol.33Issue(3)：308-312,5.DOI:10.3969/j.issn.1006-7043.201104075
基于规一化割的声呐图像谱抠图分割
Sonar image spectral matting segmentation based on normalized cut
摘要
Abstract
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.关键词
声呐图像/图像分割/规一化割/谱抠图Key words
sonar image/ image segmentation/ normalized cut/ spectral matting分类
信息技术与安全科学引用本文复制引用
刘光宇,卞红雨,沈郑燕,石红..基于规一化割的声呐图像谱抠图分割[J].哈尔滨工程大学学报,2012,33(3):308-312,5.基金项目
国家自然科学基金资助项目(50909025,60772128). （50909025,60772128）
