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  • 1
    Electronic Resource
    Electronic Resource
    s.l. ; Stafa-Zurich, Switzerland
    Key engineering materials Vol. 375-376 (Mar. 2008), p. 553-557 
    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: The tool wear detection system based on the image processing and computer vision hasbetter study value and foreground. The paper brings forward the detection method of the tool wearcondition, which solves the two main problems. Firstly, gets the high quality images by fuzzyrestoration arithmetic. Because the cutting tool is always at the movement state during the cutting,the real-time collected sequence images by CCD sensor are blurred with noise. Then, obtains thecharacter parameter uniformity Q2 by calculating gray co-occurrence matrix, which can distinguishthe cutting tool is weared or not weared. The experimental results indicate that detection of the toolwear condition by computer image processing reach our aim
    Type of Medium: Electronic Resource
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