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A Method for Auto-detecting Surface Defections of Ring Pieces

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Advances in Mechanical and Electronic Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 176))

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Abstract

The online surface defects auto-detecting is important for the ring pieces quality. The proposed method implemented on binarization by iteration threshold. It located the optimized contours using the seed growth and calculated radius and central coordinates of ring pieces through the least square fitting. It measured and recognized the features extracted by masking using pixel-counting area. The PLC control circuit was designed. Experimental results show that the method detects 2038 magnetic rings in half an hour with detection rate 95.92% and false detection 2.06%.

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References

  1. Lahajnar, F.: Machine vision system for inspecting electric plates. Comput. Ind. 47, 113–122 (2002)

    Article  Google Scholar 

  2. Duan, F.J., Zhang, J.X., Ye, S.H.: Study on the Application of Computer Vision Inspection Technique to Electronic Meshes. Opto-Electron. Eng. 23, 66–72 (1996)

    Google Scholar 

  3. Lei, L.Y., Zhou, X.J., Pan, M.Q.: Machine Vision System for Inner and Outer Diameters Inspection of a Bearing. Trans. CSAE. 36, 131–134 (2005)

    Google Scholar 

  4. Lu, J.P., Little, J.J.: Reflectance and shape from images using a collinear light source. Int. J. Comput. Vision 32, 213–240 (1999)

    Article  Google Scholar 

  5. Ying, Y.B., Wang, J.P., Jiang, H.Y.: Inspecting diameter and defect area of fruit with machine vision. Trans. CSAE. 18, 216–220 (2002)

    Google Scholar 

  6. Yue, X.J.: Gradient-histogram Based Adaptive Threshold Segmentation Algorithm for Defects Image of Product Surface. J. Nantong Univ. 6, 82–86 (2007)

    Google Scholar 

  7. Furusawa, K., Imoto, D., Kitamura, Y., et al.: A Novel Method for Circular Pattern Recognition in a Binary Image Using Two Kings of Resolutions and Its FPGA implementation. In: Proceedings of ITC-CSCC 2001, Tokushima, Japan, pp. 772–775 (2001)

    Google Scholar 

  8. Shigemori, K.: A Proposal of Novel Recognition System Using positional information to Detect Circles. In: Proceedings of ITC-CSC 2001, Japan, pp. 1058–1061 (2001)

    Google Scholar 

  9. Han, H.: Detect Circles from Intensity Images. J. Wuhan Univ. Technol. 25, 76–78 (2003)

    Google Scholar 

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Correspondence to Yuhuai Wang .

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© 2012 Springer-Verlag Berlin Heidelberg

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Wang, Y., Hu, K., Chen, Y., Shou, Z. (2012). A Method for Auto-detecting Surface Defections of Ring Pieces. In: Jin, D., Lin, S. (eds) Advances in Mechanical and Electronic Engineering. Lecture Notes in Electrical Engineering, vol 176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31507-7_27

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  • DOI: https://doi.org/10.1007/978-3-642-31507-7_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31506-0

  • Online ISBN: 978-3-642-31507-7

  • eBook Packages: EngineeringEngineering (R0)

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