Paper
8 December 2011 Livewire based single still image segmentation
Jun Zhang, Rong Yang, Xiaomao Liu, Hao Yue, Hao Zhu, Dandan Tian, Jinwen Tian
Author Affiliations +
Proceedings Volume 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis; 80021M (2011) https://doi.org/10.1117/12.902224
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Zhang, Rong Yang, Xiaomao Liu, Hao Yue, Hao Zhu, Dandan Tian, and Jinwen Tian "Livewire based single still image segmentation", Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80021M (8 December 2011); https://doi.org/10.1117/12.902224
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KEYWORDS
Image segmentation

Image quality

Image processing algorithms and systems

Image enhancement

Detection and tracking algorithms

Edge detection

Visualization

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