摘要
为解决计算机视觉中已知颜色属性的物体的识别问题,文章提出了一种基于HSV模型,以H、V参数特征值作为特征向量,应用基于LVQ学习算法的神经网络分类器进行颜色识别的的方法,很好地解决了指定颜色物体的识别问题。通过实验,对指定颜色的目标物体的识别效果比较理想,表明该算法是确实可行的。
In order to solve the problem of recognizing objects characterized by specified color,a method based on HSV model is proposed,where H,V parameters is used as pattern character vector,LVQ neural networks classifier is applied to solve this problem.Experiment results show that the objects characterized by specified color is recognized ef-fectively and this algorithm is feasible.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第10期100-102,共3页
Computer Engineering and Applications
