Laser & Optoelectronics Progress, Volume. 55, Issue 3, 031501(2018)

Sub-Pixel Corner Location Method Based on Curvature and Gray

Yanrong Ding1、*, Ruilin Bai1, and Jian Ni1
Author Affiliations
  • 1 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, Jiangsu 214122, China
  • 1 Xinje Electronic Co., Ltd., Wuxi, Jiangsu 214072, China
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    Figures & Tables(14)
    Motor shaft images acquired by the test system. (a) Motor shaft image; (b) partial image; (c) enlarged view of ROI
    Partial screenshot of image preprocessing. (a) Morphological treatment; (b) bilateral filtering; (c) Gaussian filtering
    Angle of curvature calculation diagram
    False-corner type on the workpiece surface and the gray information of its circular window. (a) False-corner type; (b) circular window gray information of false-corner 1, 3; (c) circular window gray information of false-corner 2
    Shaft type optical measurement system
    Corner and size to be detected
    Candidate corner screenshots
    Angular distribution of the corners at different scales. (a) Angle of curvature of the true corner; (b) angle of curvature of the corner 2; (c) the angle of curvature of the corner 9; (d) the angle of curvature of the corner 12
    Sub-pixel positioning step-by-step results screenshot. (a) Corner and endpoint connection; (b) edge extraction; (c) line point set 1; (d) line point set 2; (e) straight line fitting and intersection
    Corner detection results. (a) Result in Ref.[9]; (b) results in this paper
    • Table 1. Absolute deviation of the curvature angle of partial candidate corners

      View table

      Table 1. Absolute deviation of the curvature angle of partial candidate corners

      Partial candidate cornerTrue cornerFalse-corner 2False-corner 9False-corner 12
      Absolute deviationof curvature angle /(°)7.023184.80569.746622.0407
    • Table 3. Duplicate test results for individual artifactsmm

      View table

      Table 3. Duplicate test results for individual artifactsmm

      Index123456789Absolute deviation
      Corner 1_X24.780924.780524.782624.781424.781824.777724.782224.782624.78360.0059
      Corner 1_Y2.49742.49962.50672.49962.50692.50562.50122.50052.50500.0094
      Corner 2_X30.697430.694430.698130.698230.694530.693730.696130.695030.69920.0055
      Corner 2_Y2.45852.45222.45252.45932.46072.45412.46092.46112.45980.0089
    • Table 4. Algorithm accuracy test resultsmm

      View table

      Table 4. Algorithm accuracy test resultsmm

      CornerValue12345678
      Corner 1_XDetection value24.772924.775524.776424.776024.775624.776824.776224.7753
      Actual value24.773424.773424.773424.773424.773424.773424.773424.7734
      Absolute deviation0.00050.00210.00300.00260.00220.00340.00280.0019
      Corner 1_YDetection value2.48912.48982.49192.48912.49322.49092.49352.4896
      Actual value2.48992.48992.48992.48992.48992.48992.48992.4899
      Absolute deviation0.00080.00010.00200.00080.00330.00100.00360.0003
      Corner 2_XDetection value30.715430.713830.714530.717330.715330.714830.717130.7151
      Actual value30.716130.716130.716130.716130.716130.716130.716130.7161
      Absolute deviation0.00070.00230.00160.00120.00080.00130.00100.0010
      Corner 2_YDetection value2.43042.42772.42882.42842.43162.43132.43192.4313
      Actual value2.42822.42822.42822.42822.42822.42822.42822.4282
      Absolute deviation0.00220.00050.00060.00020.00340.00310.00370.0031
    • Table 5. Multiple workpiece detection resultsmm

      View table

      Table 5. Multiple workpiece detection resultsmm

      ValueSize 1 ofpiece 1Size 2 ofpiece 1Size 1 ofpiece 2Size 2 ofpiece 2Size 1 ofpiece 3Size 2 ofpiece 3
      Measured value6.33700.42225.70210.66722.19350.3744
      Actual value6.35700.43105.74500.66702.14400.3170
      Absolute deviation0.020.00880.04310.00020.04950.00574
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    Yanrong Ding, Ruilin Bai, Jian Ni. Sub-Pixel Corner Location Method Based on Curvature and Gray[J]. Laser & Optoelectronics Progress, 2018, 55(3): 031501

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    Paper Information

    Category: Machine Vision

    Received: Aug. 23, 2017

    Accepted: --

    Published Online: Sep. 10, 2018

    The Author Email: Ding Yanrong (vinkiding@163.com)

    DOI:10.3788/LOP55.031501

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