摘要
针对铁塔喷涂图像的特点,提出了一种分类器,能够将不同等级的喷涂质量图像进行分类。该分类器可快速进行喷涂在线采样图像分类,完成对喷涂效果的评价,控制单元将根据评价结果决定是否重新补喷。实验表明,该方法对高压铁塔喷涂质量检测是可行的。
According to the characteristics of spraying image of iron tower,a classifier is proposed to classify different levels of spray quality images.The classifier can quickly perform on-line sampling image classification to complete the evaluation of the spraying effect.The control unit will decide whether to re-spray or not based on the evaluation results.Experiments show that this method is feasible for quality inspection of high-pressure tower spraying.
作者
张志东
汤铭辉
谢志强
刘静
ZHANG Zhi-dong;TANG Ming-hui;XIE Zhi-qiang;LIU Jing(Guangdong Raising Synthesis Energy Services Co.Ltd.,Foshan 528000,China;School of Automation,Foshan University,Foshan 528225,China)
出处
《佛山科学技术学院学报(自然科学版)》
CAS
2020年第2期58-60,共3页
Journal of Foshan University(Natural Science Edition)
关键词
图像
分类器
质量检测
image
classifier
quality detection