由于图象信息本身的复杂性和它们之间有较强的相关性，在处理过程可能出现不完整性和不不精确性问题。粗糙集理论是一种新的处理数学工具，它作为一种新的软计算方法，为智能信息处理提供了有较的处理技术。

Due to the complexity and relativity of image information, it may be present itself problems of vagueness and uncertainty when processing it. Rough sets theory is a new mathematical tool to deal with vagueness and uncertainty. It is a soft computing method and affords intellective information processing useful tool. The paper presents an image preprocessing algorithm that combines human visual properties with rough sets. According to rough sets theory,an image is segmented to different sub images according to condition attribute on human visual properties in the algorithm, and the contrast response of the sub images are transformed respectively. It can realize filtering noise when image enhanced.