一种图象预处理的新算法

An Image Pre Processing Algorithm Based on Human Visual Properties and Rough Sets

由于图象信息本身的复杂性和它们之间有较强的相关性，在处理过程中可能出现不完整性和不精确性问题。粗糙集理论是一种新的处理含糊和不确定性问题的数学工具，它作为一种新的软计算方法，为智能信息处理提供了有效的处理技术。该文提出一种人眼视觉特性和粗糙集理论相结合的图象预处理算法，该算法根据粗糙集理论，按人眼视觉特性和噪声的条件属性，将一幅图象划分为不同的子图，然后对子图分别作对比度变换，改善了图象的增强效果， 并对噪声有抑制作用，满足了工程上的要求。

Abstract 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 pre\|processing 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.