Laser & Optoelectronics Progress, Volume. 55, Issue 3, 031501(2018)
Sub-Pixel Corner Location Method Based on Curvature and Gray
Fig. 1. Motor shaft images acquired by the test system. (a) Motor shaft image; (b) partial image; (c) enlarged view of ROI
Fig. 2. Partial screenshot of image preprocessing. (a) Morphological treatment; (b) bilateral filtering; (c) Gaussian filtering
Fig. 4. 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
Fig. 8. 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
Fig. 9. 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
Fig. 10. Corner detection results. (a) Result in Ref.[9]; (b) results in this paper
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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
Category: Machine Vision
Received: Aug. 23, 2017
Accepted: --
Published Online: Sep. 10, 2018
The Author Email: Yanrong Ding (vinkiding@163.com)