ISSN:
1013-9826
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
Image analysis was used to evaluate the curve grinding process. The measurement systemorganization and its principle of operation were introduced. Some key technologies that influence thesystem precision were also studied in details. Real-time image of work piece and wheel grinding canbe gathered while using CCD camera. For image de-noising, a kind of wavelet threshold function waspresented to calculate the new wavelet coefficients. Local threshold algorithm was used to computedifferent scale threshold, another threshold is suggested when MSE is minimum. Image signals arereconstructed through invert discrete wavelet transformation with the new wavelet coefficients. Forthe purpose of increasing the measurement precision, a closed mathematical model of sub-pixel edgedetection operator was founded according to the gray moment operator’s invariant characteristics andTabatabai’s first three sample gray moments. An application of system validity and the comparisonresults of work piece were also given. From experiments it can be said that the proposed method inthis paper is effective, and its detection precision and results are reasonable
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/52/transtech_doi~10.4028%252Fwww.scientific.net%252FKEM.329.533.pdf
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