基于机器视觉几何量测量技术研究进展分析
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1.华南理工大学 广州 510641 2、广州计量检测技术研究院 广州 510030

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TB92

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Analysis on the research progress of geometric measurement technology based on machine vision
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1.South China University of Technology, Guangzhou 510006, China; 2.Guangzhou institute of measurement and testing technology, Guangzhou 510030, China

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    摘要:

    基于机器视觉技术检测机械产品是测量领域的发展趋势,用机器视觉检查产品质量精度和效率具有良好的保障。通过查阅国内外机器视觉尺寸测量技术相关研究文献,综述目前关于基于机器视觉几何量测量技术的研究进展情况。经分析总结出目前检测技术中存在缺少对通用几何量测量系统的研究与开发、图像处理系统带有明显的时滞性、基于机器视觉几何量测量的精度还不是很高等不足之处。提出了机器视觉机械产品几何量测量技术的发展策略:后续研究相应增加开发零件图像识别和分类模块,进行算法优化,实现更高水平的自动化、智能化机器视觉测量;有效地结合其它传感器之间性能互补的优势,通过融合多传感器建立更加稳定的传递模型消除不确定性;利用主动视觉的成果等发展策略。为基于机器视觉产品检测技术相关研究提供理论参考。

    Abstract:

    The detection of mechanical products based on machine vision technology is a development trend in the measurement field. By consulting domestic and foreign machine vision dimensional measurement technology related research literature, review the current research progress on machine vision-based geometric measurement technology. After analysis, it is concluded that the current detection technology lacks the research and development of general geometric measurement systems, the image processing system has obvious time lag, and the accuracy of geometric measurement based on machine vision is not very high. The development strategy of geometric measurement technology for machine vision mechanical products is proposed: follow-up research will increase the development of parts image recognition and classification modules, optimize algorithms, and achieve a higher level of automation and intelligent machine vision measurement; effectively combine other sensors The advantages of complementary performance, through the fusion of multi-sensor to establish a more stable transfer model to eliminate uncertainty; use the results of active vision and other development strategies. Provide a theoretical reference for related research on machine vision mechanical product inspection technology.

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宋帅帅,黄锋,江燕斌.基于机器视觉几何量测量技术研究进展分析[J].电子测量技术,2021,44(3):22-26

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  • 在线发布日期: 2024-12-19
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