粗糙集在融合图像质量评价中的应用  

Application of rough set on quality evaluation of fused image

作　　者：冼广铭[1] 

机构地区：[1]华南师范大学南海校区计算机工程系,广东佛山528225

出　　处：《计算机工程与应用》2009年第34期227-229,245,共4页Computer Engineering and Applications

摘　　要：提出了一种基于粗糙集理论的融合图像质量评价方法。采用粗糙集属性约简方法把冗余的属性和冲突的对象从决策表中删去,从而对决策信息系统进行了相对简化,使模型具有一定的抗信息丢失能力。该方法运用到融合图像质量评价中去,实验结果表明其有效性。A new fused image evaluation method based on rough set theory is proposed in this paper.The method applies attribute reduction of Rough Set（RS） to delete redundant attributes and conflicting objects from decision-making table.So that the decision making table is simplified but still remains most effective information.The experiments for fused image quality evaluation show the effectiveness of the proposed algorithm.

关 键 词：粗糙集 融合图像质量评价 属性物简 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]