基于粗糙集图像分层算法的研究

Research on image layered algorithm based on rough set

提出了一种基于粗糙集的图像分层新算法,首先从数字图像中提取色彩信息和空间信息构造条件属性集,分析经典的图层信息构造决策属性集,然后运用粗糙集理论进行数据挖掘,从而得到从条件属性集到决策属性集的强规则,运用这些规则对数字图像进行智能分层。最后,用实例证明了该算法的正确性。

An image layered algorithm based on rough set is presented. It can extract the image's color and space information to construct a condition set, analyze the classic layer's meta information to construct the decision set, and perform the data mining using rough set theory and generate the strong rules and use these rules to layer the images. An example is presented to prove the accuracy of the algorithm.