| 基于机器视觉的螺纹缺陷检测方法 |
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| 引用本文： | 周金山,娄训志,王凡,何涛.基于机器视觉的螺纹缺陷检测方法[J].湖北工业大学学报,2010,25(2):4-6. |
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| 作者姓名： | 周金山 娄训志 王凡 何涛 |
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| 作者单位： | 湖北省现代制造质量工程重点实验室,湖北,武汉,430068;湖北工业大学机械工程院,湖北,武汉,430068 |
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| 基金项目： | 武汉市科技攻关计划，武汉科技计划 |
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| 摘 要： | 为了满足现代制造业自动化生产装配中在线检测要求,提出利用机器视觉的方法对螺纹缺陷进行检测.检测算法主要包括图像预处理、二值化、感兴趣区域提取、螺纹的边缘提取、螺纹的缺陷检测、缺陷量值的计算与存储.该算法由Visual C++6.0编程实现.实验结果表明,基于这种螺纹缺陷检测方法的准确率能够达到99.5%,一个螺纹的检测时间在300 ms以内,达到既定要求与目标.
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| 关 键 词： | 机器视觉 螺纹 边缘提取 缺陷检测 |
One Screw Thread Defect Detecting Method Based on Machine Vision |
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| ZHOU Jin-shan,LOU Xun-zhi,WANG Fan,HE Tao.One Screw Thread Defect Detecting Method Based on Machine Vision[J].Journal of Hubei University of Technology,2010,25(2):4-6. |
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| Authors: | ZHOU Jin-shan LOU Xun-zhi WANG Fan HE Tao |
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| Affiliation: | 1 Hubei Key Lab of Manufacture Quality Engineering,Wuhan 430068,China;2 School of Mechanical Engine.,Hubei Univ.of Technology,Wuhan 430068,China) |
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| Abstract: | In order to meet hundred percentages online testing requirements in the current manufacturing automated production,the paper proposes a method for the screw thread defects detection by using machine vision.The detection arithmetic mainly includes the image preprocessing,binarization,interesting region acquisition,and the screw thread edge extraction,the screw thread defect detecting and the defect value＇s calculation and store.The arithmetic is realized in Visual C＋＋6.0.And with a series of experiments,the results show that accuracy rate of the screw thread defect detecting method based on pattern matching is up to 99.5 percent and the detection period for a screw thread is less than 300 milliseconds,and meets the demand. |
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| Keywords: | machine vision whorl circle center acquisition defect detecting |
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