LI Wei-xing, FAN Rui-xia, LONG Fang. Wheel Indentify Algorithm Based on Curvature Restriction and Modified Hausdorff Distance MatchingJ. Transactions of Beijing institute of Technology, 2010, (S1): 124-127.
Citation: LI Wei-xing, FAN Rui-xia, LONG Fang. Wheel Indentify Algorithm Based on Curvature Restriction and Modified Hausdorff Distance MatchingJ. Transactions of Beijing institute of Technology, 2010, (S1): 124-127.

Wheel Indentify Algorithm Based on Curvature Restriction and Modified Hausdorff Distance Matching

  • For the automatic recognition of wheel hub type during automated production process, the corner feature extraction based on wheel hub curvature and modified Hausdorff distance (MHD) automatic matching method is proposed. First, the wheel hub sample features are used, and is established the standard sample database, after pre-processing the real-time wheel hub, curvature constrained least squares method(CRLSM)is used to extract the wheel contour, and extract the corner feature by curvature thresholds, and the MHD matching method is used to realize the wheel automatic recognition. The simulation experiments show that the proposed algorithm can identify the wheel hub types correctly for the sample database.
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