J4 ›› 2015, Vol. 37 ›› Issue (2): 384-389.
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JIA Di1,DONG Na1,MENG Xiangfu1,LI Sihui1,CHEN Shuo2
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Abstract:
Since edge extraction is an important step in image processing, continuity of edge extraction is particularly important.The extraction results can be applied to semantic segmentation and measurement.We present a method for continuous image edge extraction. Firstly,the Canny algorithm is used to get the coarse segmentation results.Because of the arithmetic operations,discontinuity region would be produced inevitably.Two classes of template expansion operations are used to get coarse segmentation results:small radius expansion should be selected for continuous region while bigger radius for the end of the edges,so an expansion graph is achieved. Finally,the expansion graph could be used as the initial u value for mean curvature motion (MCM) equation, the continuous edges will be extracted through iteration which introduces g function.The experimental results verify the practicability and effectiveness of the proposed algorithm.
Key words: edge extraction;continuity;Canny;expand;MCM
JIA Di1,DONG Na1,MENG Xiangfu1,LI Sihui1,CHEN Shuo2. A method for continuous image edge extraction [J]. J4, 2015, 37(2): 384-389.
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http://joces.nudt.edu.cn/EN/Y2015/V37/I2/384