Dissertation
Dissertation > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Data processing, data processing system

Research on the Key Technologies of Vision Detection in Workpiece Flaw

Author YuXiaoZuo
Tutor LuChangHua
School Hefei University of Technology
Course Signal and Information Processing
Keywords Defect detection Machine Vision Image processing DSP
CLC TP274
Type Master's thesis
Year 2011
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Visual inspection system has been widely applied to the workpiece defects detection has the advantages of speed , high precision , non-contact , can effectively overcome the lack of artificial detection , increase the degree of automation of the workpiece production and production efficiency . The visual inspection of defects of the workpiece is the the workpiece detection intelligent key link . Control bottles defect detection . The main content of this paper and the innovation lies : the image acquisition system performance analysis and classification summarize experimental platform to build the image acquisition , the workpiece image of the real-time , high-quality collection . 2 based on the image geometry regularization , NSCT (Nonsubsampled Contourlet Transform) for image processing . Based on NSCT image multi-directional multi-resolution decomposition , combined with semi - soft threshold denoising , the signal-to-noise ratio significantly improve ; combined modulus maxima image edge detection , the method to extract the edge is smooth and complete with strong noise resistance . 3 the the workpiece defect detection methods and identification of the type of defect . The defect detection the Hough transform positioning the center of the circle detection method based on template matching method mouthpiece ; through the defect perimeter , area, and extending the length and the degree of circularity of the four parameters measured to identify the bottle defect types . Through a large number of experiments to verify the feasibility of DSP-based image processing algorithms developed image acquisition and processing procedures , the system software porting from the PC to the DSP . Dynamic real-time detection of consecutive images to explore and study and design a user - friendly operator interface .

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