图像匹配的模糊合成多维决策  

Multidimensional decision-making using composed fuzzy method in images matching

作　　者：应俊豪[1] 张秀彬[1] 计长安[1] 张颖璐[1] 

机构地区：[1]上海交通大学电子信息与电气工程学院,上海200240

出　　处：《系统工程与电子技术》2006年第12期1797-1799,1819,共4页Systems Engineering and Electronics

摘　　要：针对传统的图像匹配算法(如MSD、CF和CCF等)难以实现复杂背景下目标的高准确率识别的问题,提出了一种目标图像匹配的模糊合成多维决策方法,利用模糊合成相似度函数来寻求模板和现场的相互关系。采用该决策方法,在运算量增加不多的情况下,可以大幅度提高复杂背景下的目标图像识别准确率,为同类研究提供一种有价值的思路和技术手段。The traditional ways to match images, such as MSD, CF and CCF, have their own limitations to be used in scenarios with complicated background. To gain high accuracy in matching the images, a multidimensional decision-making method using composed fuzzy logic to match images is presented. This method is used to make image matching more accurate with little additional operation cost. Compared to many traditional methods, this method is very easy to implement.

关 键 词：图像匹配 模糊集合成 多维决策 相似度 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]