基于PCNN赋时矩阵与粗集理论不可分辨关系的图像增强
首发时间:2005-08-16
摘要:基于粗集理论中的不可分辨关系的等价概念及PCNN赋时矩阵,提出了一种含有脉冲噪声的图像增强算法,计算机仿真结果表明,对被噪声污染的灰度图像,用基于PCNN与粗集理论相结合的图像增强算法处理后,图像噪声得到有效抑制,画面更清晰,图像中目标的细节也得到了很好的增强,其结果优于常规方法。
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Image enhancement based on PCNN time matrix and rough sets indiscernibility relation
Abstract:This paper describes a new algorithm of image enhancement of impulse noise based on PCNN time matrix and rough sets indiscernibility relation. For noisy gray images, the results of computer simulations show that the image noise can be reduced efficiently and the image becomes clear and the target details of the image can be enhanced better by using this algorithm. In addition, the effects of this algorithm are better than usual image enhancement algorithm.
Keywords: Rough sets Indiscernibility relation PCNN Time matrix image enhancement
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