摘要
文中首先从代数理论和模糊数学出发，讨论向量空间中任一子空间对任一向量的接纳程度，将其定义为向量隶属度，并证明它具有一些不变性；然后将它推广应用于图象识别中，构造图象隶属度，人脸识别实验结果表明。
Starting from algebraic theory and fuzzy mathematics,the degree of any vector subspace accepting any vector is discussed in the paper, which is defined as the degree of membership of vector. It is proved to have some properties of algebraic invariance and then it is applied to image recognition for constructing the degree of membership of image. Experimental results of human facial image recognition show that the degree of membership of image has the good ability of separation and recognition.
出处
《计算机研究与发展》
EI
CSCD
北大核心
1998年第11期1014-1019,共6页
Journal of Computer Research and Development
基金
国家自然科学基金
博士点基金
关键词
图象识别
人脸识别
模式识别
图象隶属度
image recognition, vector ,degree of membership, human facial recognitionClass number O235
TP391.4
