Sonar Image Segmentation Based on Implicit Active Contours
Sonar images are susceptible to noise pollution and the image intensities are often inhomogeneous. So there are many difficulties in sonar image segmentation. When apply the current popular regionbased active contour models to sonar image segmentation, the objects we interested may be segmented inaccurately sometimes, especially for the image with shadows. To solve the problem, a simple algorithm was proposed in this paper. Firstly we analyzed the initial contour action in level set evolution, and then combined with a strict local binary fitting energy we segmented sonar images selectively by changing the initial contour. Computer experiment results show that our method is very suitable for sonar image segmentation. Target regions with weak border can be obtained perfectly. And for the sonar image with shadows, interested objects and the shadows could be distinguished separately, avoiding the boundary leaking problems caused by the shadows existing..
sonar image image segmentation active contours level set
Enfang SANG Zhengyan SHEN Chang FAN Yuanshou LI
Underwater Acoustics Engineering College Harbin Engineering University Harbin,China Department of Measurement and Control Technology China Aerodynamics Research Institute of Aeronautic
国际会议
上海
英文
2757-2760
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）