摘要
提出了一种新的机器视觉零件分类方法。利用计算机图形,首先以3D模型建模机械零件,然后投影到x-y平面以生成一组2D图像;最后利用遗传算法(GA)的仿射变换采集图像和训练样本的模板比对进行识别。实验结果证明:本方法相比Hu不变矩方法具有较高的零件识别率。
A new machine vision based mechanical parts classification method is presented.Firstly,computer graphics is used for modeling of mechanical parts by 3 D model.Then,project them to the x-y plane to generate a group of 2D images.Finally,affine transformation of genetic algorithm(GA)is used to acquire images,and compare with template of training sample for identification.Experimental result shows that the proposed method has higher mechanical parts recognition rate compared with Hu invariant moment method.
作者
柳云鹤
李苏
LIU Yunhe;LI Su(School of Mechanical Engineering,Shandong University,Jinan 250061,China)
出处
《传感器与微系统》
CSCD
2020年第8期148-151,共4页
Transducer and Microsystem Technologies
关键词
机械零件识别
图像模型
仿射变换
遗传算法
mechanical parts recognition
image model
affine transformation
genetic algorithm(GA)
