Rectangle object segmentation based on shape preserving and CV variational level set

Junhui Feng; Yanghui Xiao; Ende Wang

doi:10.1117/12.2073059

24 November 2014 Rectangle object segmentation based on shape preserving and CV variational level set

Junhui Feng, Yanghui Xiao, Ende Wang

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93012W (2014) https://doi.org/10.1117/12.2073059
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

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.

Citation Download Citation

Junhui Feng, Yanghui Xiao, and Ende Wang "Rectangle object segmentation based on shape preserving and CV variational level set", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93012W (24 November 2014); https://doi.org/10.1117/12.2073059

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