Paper Title:
Detection of the Tool Wear Condition Based on the Computer Image Processing
  Abstract

The tool wear detection system based on the image processing and computer vision has better study value and foreground. The paper brings forward the detection method of the tool wear condition, which solves the two main problems. Firstly, gets the high quality images by fuzzy restoration 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 the character parameter uniformity Q2 by calculating gray co-occurrence matrix, which can distinguish the cutting tool is weared or not weared. The experimental results indicate that detection of the tool wear condition by computer image processing reach our aim.

  Info
Periodical
Key Engineering Materials (Volumes 375-376)
Edited by
Yingxue Yao, Xipeng Xu and Dunwen Zuo
Pages
553-557
DOI
10.4028/www.scientific.net/KEM.375-376.553
Citation
Y. L. Wang, S. M. Ji, L. Zhang, S. S. Jin, Y. Chen, "Detection of the Tool Wear Condition Based on the Computer Image Processing", Key Engineering Materials, Vols. 375-376, pp. 553-557, 2008
Online since
March 2008
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Price
$32.00
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