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基于图像识别技术的螺栓裂缝识别系统研究 被引量:1

The Research of Bolt Cracks Discern System based on Image Recognition Technology
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摘要 提出了一种基于图像识别技术的螺栓裂缝非接触识别技术。利用高精度工业相机对待检螺栓进行拍摄,然后采用细化、提高曝光度、图像分割等技术对拍摄到的图片进行处理,获取图像特征,最终达到识别裂缝的目的。实验表明,将图像识别技术应用于螺栓裂缝识别领域,可以大大简化识别步骤,提高识别精度,为螺栓裂缝检测提供了新的发展方向。 Propose a non-contact identification of bolt crack based on image recognition technology. Take photo of every bolt waiting for the detection with high-precision industrial cameras, then process the photos with image thinning, improve exposure, edge detection technology, so we can get the image fea- ture, and finally achieve the purpose of crack identification. The experiment shows that the use of image recognition technology in bolt cracks identification can greatly simplify the identification step, improving recognition accuracy, and provides a new direction of development for the bolt cracks detection.
出处 《组合机床与自动化加工技术》 北大核心 2013年第3期77-79,共3页 Modular Machine Tool & Automatic Manufacturing Technique
基金 山东省自然科学基金(Y2008F53)
关键词 数字图像处理 螺栓裂缝 图像识别 digital image processing bolt cracks image recognition
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  • 1钱芸,张英杰.水平集的图像分割方法综述[J].中国图象图形学报,2008,13(1):7-13. 被引量:48
  • 2王箴.化工辞典[M].北京:化学工业出版社(第三版),1992..
  • 3中国机械工程学会无损检测分会.渗透控伤[M].北京:机械工业出版社,1986..
  • 4David J K.Programming Visual C++6.0技术内幕(第五版)(修订版)[M].北京:北京希望电子出版社,1999..
  • 5Robert D T.MFC开发人员参考手册[M].北京:机械工业出版社,1998..
  • 6Clark M C, Hall L O, Goldgof D B. MRI segmentation using fuzzy clustering techniques: integrating knowledge[J]. 1EEE Engineer in Medicine and Biology, 1994,13(5) :730 - 742.
  • 7Kaus M R,Warfield S K,Nabavi A, et al. Automatic segmentation of MR image of brain tumors[J]. Radiology, 2001, 218 : 586 - 591.
  • 8Osher S,Sethian J A. Fronts propagating with curvature- dependent speed: algorithms based on Hamilton- Jacobi formulation[ J ]. Journal of Computational Physics, 1988,79:12 -- 49.
  • 9Ho S,Bullitt E,Gerig G. Level set evolution with region competition: automatic 3D segmentation of brain tumors[ C]//International Conference on Pattern Recognition. [ s. l. ]: [ s. n. ],2002:532- 535.
  • 10Prastawa M, Bullitt E, Ho S, et al. A brain segmentation framework based on outliner detection [ J ]. Medical Image Analysis, 2004 (8) : 275 - 283.

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