关键词: 粗集 色度比 图像滤波

Abstract:

Due to the complexity and relativity of image information, the problems of vagueness and uncertainty may emerge when the information is processed. Rou gh set theory is a new mathematical tool to deal with vagueness and uncertainty. It is a soft computing method and can be used as a useful tool for inte  llective information processing. Due to the fact that traditional image fiItering does not solve the loss details of images, rough set theory is applied to image filtering. Chrominance Ratio is introduced,and a rough set judgement standard for checking noise pixels and the edge of images based on the ch  rominance ratio is presented, and a new filter based on rough set is designed. Experimental results show that the filter can preserve the edge and detai ls of images very well when removing the noise  effectively.

Key words: rough set, chrominance ratio, image filtering