基于图像识别的管材尺寸特征参数采集与检测系统
Pipe size characteristic parameter collection and detection system based on image recognition
摘 要
为了能够快速检测管材的外径与壁厚,设计了一种基于图像识别的采集与检测系统,其主要包括机械结构部分、图像采集部分和图像处理部分。该系统能够夹取管材并进行管材截面的拍摄,将拍摄到的图像发送至计算机端,实现对被测管材管径与壁厚的快速检测。图像识别系统使用Canny边缘检测与轮廓特征提取算法进行管材轮廓识别,并通过图像比例尺计算出管材的尺寸特征参数(管径与壁厚),最后分别选取不同管径、壁厚和工艺制备方法成形的管材进行试验验证。结果表明该系统具有较高的可靠性与准确性。
图像识别
图像采集
结构设计
metrology
image recognition
image acquisition
structure design
Abstract
In order to quickly detect the outer diameter and wall thickness of pipes, a collection and detection system based on image recognition was designed in this paper, which mainly included a mechanical structure part, an image acquisition part and an image processing part. The system can clamp and shoot the cross-section of pipes, and send the captured image to the PC to quickly detect the pipe diameter and wall thickness of the tested pipe. The image recognition system then uses Canny edge detection and contour feature extraction algorithm for identifying the pipe contour, and calculate the pipe diameter and wall thickness using scale of the image. Finally, experiments of pipes with different diameter, wall thickness and process methods were conducted. The results verified the high reliability and accuracy of the proposed system.
中图分类号 TG115.28 DOI 10.11973/wsjc202209005
所属栏目 试验研究
基金项目 国家自然科学基金资助项目(52075354)
收稿日期 2022/3/9
修改稿日期
网络出版日期
作者单位点击查看
备注陈烨(1996-),男,硕士研究生,研究方向为工业物联网、管材回弹量预测
引用该论文: CHEN Ye,BIAN Guanghui,YANG Ping,YU Lipeng,WANG Chuanyang. Pipe size characteristic parameter collection and detection system based on image recognition[J]. Nondestructive Testing, 2022, 44(9): 22～27
陈烨,卞光辉,杨平,于利鹏,王传洋. 基于图像识别的管材尺寸特征参数采集与检测系统[J]. 无损检测, 2022, 44(9): 22～27
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【10】秦国华, 易鑫,李怡冉,等.刀具磨损的自动检测及检测系统[J].光学 精密工程,2014,22(12):3332-3341.
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