Research on Dimensional Inspection System of Thin Sheet Part Based on Machine Vision

Abstract:

Key technologies of dimensional inspection system of thin sheet part based on machine vision are investigated, and an entire machine vision inspection system is developed. A cad information-based line scanning step adaptive optimization method used for image grabbing of inspected part is proposed. A rectangle lens subpixel edge detection method based on cubic spline interpolation used for edge detection is advanced. A planar contour primitive recognition method based on curvature and HOUGH transform used for image recognition is raised. The inspection accuracy of the inspection system can reach to 1μm, and the inspection time can satisfy the requirements of on-line real-time inspection, so the inspection system is feasible.

• Periodical: Advanced Engineering Forum (Volumes 2-3)
• Pages: 469-474
• DOI: https://doi.org/10.4028/www.scientific.net/AEF.2-3.469
• Online since: December 2011
• Authors: Ji Gang Wu, Xue Jun Li, Bin Qin
• Keywords: Dimension of Thin Sheet Part, Line Scanning, Machine Vision Inspection, Planar Contour Primitive Recognition, Subpixel Edge Detection

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