Application of stochastic heuristic search method to edge extraction in noisy images

JunWei Han; Lei Guo

doi:10.1117/12.441453

21 September 2001 Application of stochastic heuristic search method to edge extraction in noisy images

JunWei Han, Lei Guo

Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441453
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

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.

Citation Download Citation

JunWei Han and Lei Guo "Application of stochastic heuristic search method to edge extraction in noisy images", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); https://doi.org/10.1117/12.441453

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