为了利用计算机视觉技术进行刀具状态监测，设计了机械加工刀具状态监测实验系统，并通过将图像处理技术引入到机械加工刀具磨损状态监测中，提出了一种通过提取工件表面图像的连通区域数来判断刀具磨损状态的新方法。该方法首先采集被加工工件的表面图像；然后对图像进行预处理，并对区域行程算法进行了改进，再用改进的区域行程标记算法对机械加工工件表面图像进行标记；最后通过统计连通区域数来判断刀具的磨损状态。理论和实验分析表明，由于加工工件表面图像的连通区域数和刀具磨损有很强的相关性，其可以间接判断刀具磨损情况，从而可达到对刀具状态进行监测的目的。实验表明，该方法计算简单、识别速度快，可以有效地判断刀具的磨损状态。

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.