摘要
针对轮胎分类困难的问题,研究基于轮胎标识点的轮胎分类方法。基于机器视觉理论,开发轮胎标识点识别系统。首先该系统采集轮胎标识点图像,并对标识点图像进行相关图像分析处理运算,从而识别出标识点图像的颜色和形状信息。然后识别系统将标识点信息转换并输送给轮胎分类系统,系统依据标识点信息对轮胎进行相应分类。试验结果表明,该轮胎分类方法分类准确,可提高生产效率。
In this study, a method of tire classification based on tire marking points was established.Firstly,a recognition system of tire marking points based on the theory of machine vision was developed.The tire marking images were acquired in this system and analyzed and then the colors and shapes of tire mar–king points were recognized.The information of tire marking points was transformed and transmitted to tire classification system. The tire was classified into corresponding species according to the tire marking points.The experiment results showed that,the proposed tire classification method could classify tire accurately,and enhanced the efficiency of tire classification.
出处
《橡胶工业》
CAS
2015年第12期752-755,共4页
China Rubber Industry
关键词
轮胎
标识点
分类
机器视觉
tire
marking points
classification
machine vision