摘要
提出了一种利用前向三层神经网络及计算机视觉技术对汽车车型进行自动识别的方法，包括汽车车型图象的分割、特征提取以及基于前向三层神经网络的自动识别和分类。文中的所有算法均在５８６／１３３ 微机上实现，识别和分类效果良好。
This paper presents a m ethod using feed forw ard three layers neuralnetworks and com puter vision technology to recognize autom obile m odels. Itincludes autom obile m odelim age segm entation,character abstraction,autom atic recognition and classification based on feed forw ard three layers neuralnetw orks. Allalgorithm s in this paper are verified at 586/133 com puter and experim entalresults are efficientforrecognition and classification.
出处
《中国图象图形学报（A辑）》
CSCD
1999年第8期668-672,共5页
Journal of Image and Graphics
关键词
图象分割
神经网络
自动识别
汽车车型
交通
Im age segm entation, Character abstraction, Neuralnetw ork, Autom atic recognition
