8 December 2011 Algorithm of weak edge detection based on the Nilpotent minimum fusion
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Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 80030E (2011) https://doi.org/10.1117/12.903233
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Genyun Sun, Aizhu Zhang, Xujun Han, "Algorithm of weak edge detection based on the Nilpotent minimum fusion", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030E (8 December 2011); doi: 10.1117/12.903233; https://doi.org/10.1117/12.903233
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