摘要
对目标相关识别原理进行了分析,为了解决图像中待识别目标的方向和大小改变的问题,利用综合鉴别函数设计了畸变不变模板,并对其进行了改进,将等相关峰综合鉴别函数引进训练样本,改变了训练样本的叠加系数,在保证图像原点处具有较大相关峰值的同时一定程度上使样本间相关峰相似,提高了目标类间识别的能力.
The principle of correlation recognition of target is analyzed. To solve the distortion problem in direction and scale, a distortion invariant model is designed and improved by means of synthetic discriminate function （SDF）, by introducing the recognition SDF into training samples. The recognition capability could be enhanced by changing the superposition coefficient to insure that the correlation peak at the origin point is higher while the correlation peaks in different samples maintain alike.
出处
《光电技术应用》
2009年第6期11-13,共3页
Electro-Optic Technology Application
关键词
相关识别
综合鉴别函数
畸变不变
correlation recognition
synthetic discriminate function（SDF）
distortion invariant
