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- W2365318904 abstract "In order to study the monitor of cutting tool condition in machining based on computer vision,the experimental system on the state of cutting tool condition monitor system is designed,the image processing technology is introduced into the condition monitoring of cutting tool wear,a new method of judging the cutting tool state is proposed by extracting the cutting surface connected components integer number.The images of cutting surface are collected and preprocessed.The tradition stroke label algorithm is improved,the preprocessed cutting surface images are labeled using the algorithm above,and the connected component integer number is calculated to judge the wear state of cutting tools.Both theoretical analysis and experiments show that there is a strong relativity between the connected component integer number of the cutting surface and the cutting tool wear state,the cutting tool wear condition can be estimated indirectly.And then the objective of monitoring the cutting tool condition is achieved.It is concluded that the method of judging the cutting tool wear condition through extracting the connected component integer of cutting surface is simple,the identification speed is fast,and the cutting tool wear condition can be judged effectively in this way." @default.
- W2365318904 created "2016-06-24" @default.
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- W2365318904 date "2008-01-01" @default.
- W2365318904 modified "2023-09-23" @default.
- W2365318904 title "Experimental Studies on Feature Extraction of Tool Wear Condition Based on Image Connected Components Integer" @default.
- W2365318904 hasPublicationYear "2008" @default.
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