【摘要】 介绍了粗糙集理论的概念,利用粗糙集理论进行了图像中像素值的分类,提出了一种基于粗糙集理论的图像中值滤波算法,进行了仿真试验,并和传统的图像中值滤波结果进行了视觉上的比较和峰值信噪比指标的比较。实验结果和峰值信噪比指标表明,该算法能有效地滤除图像中的随机脉冲噪声和椒盐噪声,还能使图像保持很好的清晰度。更多还原

【Abstract】 This paper introduces the conception of Rough sets theory and uses Rough sets theory to classify the pixel of the image. An improved median filter algorithm based Rough sets theory is proposed and tested using simulation, and then the result in vision and guide line of Peak Signal Noise Ratio are compared between image median filter of rough sets and image median filter of tradition. These indicate that the algorithm can effectively remove random impulse noise and pepper&salt noise in the image and it also can keep a high definition of the image.更多还原