Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
A machine vision system for wear monitoring and breakage detection of single-point cutting tools
Computers and Industrial Engineering
Digital image processing
Handbook of image processing operators
Handbook of image processing operators
A neural network architecture for tool wear detection through digital camera observations
AMST '96 Proceedings of the fourth international conference on Advanced manufacturing systems and technology
Machine learning approach for automated visual inspection of machine components
Expert Systems with Applications: An International Journal
On-line tool wear measurement for ball-end milling cutter based on machine vision
Computers in Industry
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In this paper, a system based on successive image analysis is proposed for periodic measurement of flank wear in milling. The successive images are captured while the spindle is rotating. The blur of the moving images is minimized by the use of a high-speed camera and low spindle speed during the image capture. A method based on image series to measure flank wear has been developed and successfully applied on these moving images. Its performance is compared with the method based on individual still or static images. The results show improved robustness of this system with high potential for industrial application to measure the flank wear in-cycle (between passes) without stopping the spindle.