Precision Parts Parallelism Error on-Line Detection Based on the CCD Imaging System


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In order to meet the requirement of high precision and high efficiency in parts detection, the paper made the research on parts shape-position error on-line detection, put forward a new detection method about parts detection, applied the CCD imaging techniques into the machining quality on-line detection of parts, detected the edge points of parts image by making use of wavelet transformation and Hough transformation, fit the points using least-squares procedure and got the equation of line accurately, realized the non-contact detection of surface quality of parts. Experiment shows that the new method can detect parallelism error more accurately and effectively compared to the artificial detection method.



Edited by:

Shaobo Zhong and Yiqiang Zhang






X. F. Feng et al., "Precision Parts Parallelism Error on-Line Detection Based on the CCD Imaging System", Applied Mechanics and Materials, Vol. 273, pp. 599-603, 2013

Online since:

January 2013




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