Detection of the Tool Wear Condition Based on the Computer Image Processing
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.
Yingxue Yao, Xipeng Xu and Dunwen Zuo
Y. L. Wang et al., "Detection of the Tool Wear Condition Based on the Computer Image Processing", Key Engineering Materials, Vols. 375-376, pp. 553-557, 2008