基于Perona-Malik模型的阈值估计

2009 International Conference on Computational Intelligence and Software Engineering Pub Date : 2009-12-28 DOI:10.1109/CISE.2009.5366025

Hui Shao, Hailin Zou

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引用次数: 5

摘要

在基于Perona-Malik模型的图像非线性扩散滤波中，扩散机制和参数的选择是关键。扩散函数的阈值估计主要依赖于现有方法的经验。本文分析了图像特征、噪声方差和阈值之间的关系，提出了一种新的阈值估计方法，实验结果表明该方法是有效的。Keywords-nonlinear扩散;PM阈值估计

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Threshold Estimation Based on Perona-Malik Model

The selectivity of diffusion mechanism and parameters is the key in the field of image nonlinear diffusion filtering based on Perona-Malik model. The threshold estimation of the diffusion function depends mainly on the experience in the existing methods. In this paper, the relationship between the image features, the noise variance and the threshold are analyzed, and a new threshold estimation method is proposed, the test results show it is effective. Keywords-nonlinear diffusion; PM threshold estimation

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2009 International Conference on Computational Intelligence and Software Engineering

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