Algorithm of weak edge detection based on the Nilpotent minimum fusion
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.
Edge detection Nilpotent minimum norm Fuzzy sets
Genyun Sun Aizhu Zhang Xujun Han
School of Geosciences, China University of Petroleum, Qingdao Shandong,266555 Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences,
国际会议
桂林
英文
1-5
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）