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Proceedings Paper

Rectangle object segmentation based on shape preserving and CV variational level set
Author(s): Junhui Feng; Yanghui Xiao; Ende Wang
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Paper Abstract

In order to solve the problems that CV model can’t segment object which is partially occluded or has similar gray value with background or has obvious textures, we add shape restraint equations of prior shape to level set function, which keeps the curve to be a specific class shape in the whole evolvement, thus we realize shape preserving in object segmentation. In addition, we build an energy function for rectangle object using our proposed model, deduce a group of corresponding Euler-Lagrange ordinary differential functions and evolve the level set function. By evolution, rectangle object can be segmented, and the final level set function is just the quantitative description of the rectangle object. At last, we validate with three groups of experiments that our model can not only segment the rectangle object from complex backgrounds, but also has lessened calculation and strong robustness.

Paper Details

Date Published: 24 November 2014
PDF: 6 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93012W (24 November 2014); doi: 10.1117/12.2073059
Show Author Affiliations
Junhui Feng, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)
Yanghui Xiao, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)
Ende Wang, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 9301:
International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition
Gaurav Sharma; Fugen Zhou; Jennifer Liu, Editor(s)

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