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Proceedings Paper

Livewire based single still image segmentation
Author(s): Jun Zhang; Rong Yang; Xiaomao Liu; Hao Yue; Hao Zhu; Dandan Tian; Jinwen Tian
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Paper Abstract

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.

Paper Details

Date Published: 8 December 2011
PDF: 7 pages
Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80021M (8 December 2011); doi: 10.1117/12.902224
Show Author Affiliations
Jun Zhang, Huazhong Univ. of Science and Technology (China)
Rong Yang, Huazhong Univ. of Science and Technology (China)
Xiaomao Liu, Huazhong Univ. of Science and Technology (China)
Hao Yue, Huazhong Univ. of Science and Technology (China)
Hao Zhu, Huazhong Univ. of Science and Technology (China)
Dandan Tian, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8002:
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis
Faxiong Zhang; Faxiong Zhang, Editor(s)

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