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.