ISSN: 2476-2075

Optometry: Open Access
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  • Editorial   
  • Optom Open Access 2023, Vol 8(3): 201
  • DOI: 10.4172/2476-2075.1000201

Optical Measurement of Tool Wear Parameters: Leveraging Machine Vision

Alhabshan Fahad*
Institute of Computing, Kohat University of Science and Technology, Kohat, Pakistan
*Corresponding Author : Alhabshan Fahad, Institute of Computing, Kohat University of Science and Technology, Kohat, Pakistan, Email: Fahadalhabsaban@gmail.com

Received Date: May 02, 2023 / Published Date: May 30, 2023

Abstract

Tool wears directly affect the quality of product and service life of tool. This paper proposes a machine visionbased measurement method for chisel edge wear of drills. Firstly, the full contour of a drill is extracted by local variance threshold segmentation. Secondly, the image is enhanced by using an adaptive contrast enhancement algorithm based on bidimensional local mean decomposition (BLMD). A threshold segmentation method is proposed to extract contour of the non-worn area. A new approach of inline automatic calibration of a pixel is proposed in this work. The captured images of carbide inserts are processed, and the segmented tool wear zone has been obtained by image processing. The vision system extracts tool wear parameters such as average tool wear width, tool wear area, and tool wear perimeter. The results of the average tool wear width obtained from the vision system are experimentally validated with those obtained from the digital microscope.

Citation: Fahad A (2023) Optical Measurement of Tool Wear Parameters: Leveraging Machine Vision. Optom Open Access 8: 201. Doi: 10.4172/2476-2075.1000201

Copyright: © 2023 Fahad A. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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