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Proceedings Paper

Algorithm of weak edge detection based on the Nilpotent minimum fusion
Author(s): Genyun Sun; Aizhu Zhang; Xujun Han
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Paper Abstract

To overcome the shortcoming in traditional edge detection, such as the losing of weak edges and the too rough detected edges, a new edge detection method is proposed in this paper. The new algorithm is based on the Nilpotent minimum fusion. First of all, based on the space fuzzy relation of weak edges, the algorithm makes decision fusion to improve the structure of weak edges by using the Nilpotent minimum operator. Secondly, detect edges based on the fusion results. As a result, the weak edges are detected. Experiments on a variety of weak edge images show that the new algorithm can actually overcome the shortcoming in traditional edge detection, for the results are much better than traditional methods. On one hand, some of the weak edges of complex images, such as medical images, are detected. On the other hand, the edges detected by the new algorithm are thinner.

Paper Details

Date Published: 8 December 2011
PDF: 5 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030E (8 December 2011); doi: 10.1117/12.903233
Show Author Affiliations
Genyun Sun, East China Univ. of Petroleum (China)
Aizhu Zhang, East China Univ. of Petroleum (China)
Xujun Han, Cold and Arid Regions Environmental and Engineering Research Institute (China)


Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)

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