An Application of Stochastic Heuristic Search Method to Edge Extraction in Noisy Images

机译：随机启发式搜索方法在噪声图像边缘提取中的应用

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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.

机译：如何在噪声图像中有效地提取边缘是模式识别的难题。在本文中，我们提出了一种随机启发式搜索算法来提取噪声图像中的边缘。我们使用重复随机搜索在边缘图像中获得各种可能的独立边缘轨迹，然后分别进行自我增强和累积搜索轨迹，最后根据自身增强的累积结果提取边缘。我们的技术有效地结合了边缘点的局部信息和独立边缘曲线的全部信息。经过大量的实验，并与以往的启发式搜索算法进行比较，发现我们的方法可以有效地提取边缘并抑制噪声。

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来源
《Conference on Image Extraction, Segmentation, and Recognition Oct 22-24, 2001, Wuhan, China》|2001年|p.57-62|共6页
会议地点 Wuhan(CN)
作者
HAN Junwei; GUO Le;
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作者单位

Department of Automatic Control, Northwestern Polytechnical University,Xi 'an, P.R.China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类无线电电子学、电信技术;
关键词
edge extraction; heuristic search; stochastic heuristic search; accumulation;

机译：边缘提取；启发式搜索；随机启发式搜索；积累;

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1. A discretization method for the numerical solution of Dieudonne-Rashevsky type problems with application to edge detection within noisy image data [J] . Lucas Franek, Marzena Franek, Helmut Maurer, Optimal Control Applications and Methods . 2012,第3期

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2. An edge extraction technique for noisy images [J] . Cios K.J., Sarieh A. IEEE Transactions on Biomedical Engineering . 1990,第5期

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3. Performance Analysis of Feature Extraction and Selection of Region of Interest by Segmentation in Mammogram Images between the Existing Meta-heuristic Algorithms and Monkey Search Optimization (MSO) [J] . S. KANIMOZHI SUGUNA, S. UMA MAHESWARI WSEAS Transactions on Information Science and Applications . 2014,第Null期

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4. An Application of Stochastic Heuristic Search Method to Edge Extraction in Noisy Images [C] . GUO Le, GUO Le, HAN Junwei Conference on image extracting, segmentation, and recognition . 2001

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5. Adaptive Bayes-Optimal Methods for Stochastic Search with Applications to Preference Learning [D] . Pallone, Stephen N. 2017

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6. A hierarchical method based on active shape models and directed Hough transform for segmentation of noisy biomedical images; application in segmentation of pelvic X-ray images [O] . Rebecca Smith, Kayvan Najarian, Kevin Ward 2009

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7. Applications of Modern Heuristic Search Methods to Pattern Sequencing Problems [O] . Andreas Fink, Stefan Voß 1998

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8. Application of Heuristic Search Methods to Edge and Contour Detection. [R] . Martelli, A. 1976

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An Application of Stochastic Heuristic Search Method to Edge Extraction in Noisy Images

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