基于粗集方法的图像识别系统

Image Classification Based on the Theory of Rough Sets

提出了基于粗集理论的一种图像识别系统。该系统包括图像预处理、特征提取、决策表生成、条件属性简化等。运用粗集方法，能有效地压缩图像特征数目从而大大提高运行速度。

The construction of a system that classifies images data is described with the theory of rough sets. The system consists of data preprocessing, feature extraction, decision table, reduction of attributes and so on. Through implementation of the rough set theory, we could significantly reduce the number of information about images and improve the task running time.