• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2015, Vol. 37 ›› Issue (2): 384-389.

• 论文 • Previous Articles     Next Articles

A method for continuous image edge extraction 

JIA Di1,DONG Na1,MENG  Xiangfu1,LI Sihui1,CHEN Shuo2   

  1. (1.School of Electronic and Information Engineering,Liaoning Technical University,Huludao 125105;
    2.Information and Communication Brach,Liaoning Electric Power Company Limited,Shenyang 110006,China)
  • Received:2013-09-17 Revised:2013-10-26 Online:2015-02-25 Published:2015-02-25

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