非线性滤波除噪技术综述
首发时间:2004-07-09
摘要:本文阐述了以中值滤波为代表的传统非线性滤波方法以及以形态滤波为代表的新型非线性滤波方法的发展现状,指明自然图像的多样性和噪声本身的复杂性是实现图像滤除噪声的难点,只有将自适应机制、自组织能力、自学习能力与传统的成熟滤波算法相结合,才能使非线性滤波算法彻底摆脱图像多样性和噪声复杂性的困扰。
关键词: 图像复原 中值滤波 形态滤波 遗传算法 模糊数学 神经网络
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The Summarize of Nonlinear Filtering and De-noise
Abstract:The paper expounds the developing actuality of the traditional nonlinear filtering algorithm—median filtering and new-style nonlinear filtering algorithm—morphologic filtering. It points out that the diversity of natural images and the complexity of the noises are the difficulties to filter out the image noises. We should integrate self-adaptive mechanism,self-organizing characteristic and self-learning characteristic into traditional mature filtering algorithms. Thus nonlinear filtering algorithm just can get rid of the puzzles of the diversity of natural image and the complexity of the noise.
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