Livewire based single still image segmentation
In the application of the video contactless measurement, the quality of the image taken from underwater is not very well. It is well known that automatic image segmental method cannot provide acceptable segmentation result with low quality single still image. Snake algorithm can provide better result in this case with the aiding of human. However, sometimes the segmental result of Snake may far from the initial segmental contour drawn by user. Livewire algorithm can keep the location of the seed points that user selected nailed from the beginning to the end. But the contour may have burrs when the image’s noise is quite high and the contrast is low. In this paper, we modified the cost function of Livewire algorithm and proposed a new segmentation method that can be used for single still image segmentation with high noise and low contrast.
Semi-automatic image segmentation LiveWire Snake Enhanced LiveWire
Jun Zhang Rong Yang Xiaomao Liu Hao Yue Hao Zhu Dandan Tian Shu Chen Yiquan Li Jinwen Tian
National Key Labrotary of Science & Technology on Multi-spectral Information Processing,Huazhong Uni School of Mathematics and Statistics, Huazhong University of Science and Technology,Wuhan 430074, P. China Nuclear Power Operation Technology Corporation LTD, Wuhan 430223, P. R. China
国际会议
桂林
英文
1-7
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）