An application of stochastic heuristic search method to edge extraction in noisy images

Junwei Han, Le Guo

科研成果: 期刊稿件会议文章同行评审

2 引用 (Scopus)

摘要

How to extract the edge effectively in noisy image is a difficult problem of pattern recognition. In this paper, we present a stochastic heuristic search algorithm to extract edge in noisy image. We use repetitive random searches to obtain various possible independent-edge trajectories in the edge image, then self-reinforce and accumulate the search trajectories respectively, at last, extract the edges based on the results of the accumulation of self-reinforcement. Our technique combines the local information of the edge points and the whole information of independent-edge curves availably. Lots of experiments and comparing with past heuristic search algorithms, we find that our method can extract edges effectively and suppress the noise.

源语言英语
页(从-至)57-62
页数6
期刊Proceedings of SPIE - The International Society for Optical Engineering
4550
DOI
出版状态已出版 - 2001
活动Image Extraction, Segmentation, and Recognition - Wuhan, 中国
期限: 22 10月 200124 10月 2001

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