本文介绍了一种用于单点切削刀具磨损监测和破损检测的机器视觉系统。新开发的系统从刀具的二维图像（侧翼视图）中提取五个特征，然后用于分类方案。在实验室数控车床上进行的测试结果与使用常规方法获得的结果具有良好的相关性。

THIS PAPER PRESENTS A MACHINE VISION SYSTEM FOR MONITORING WEAR AND DETECTING BREAKAGE IN SINGLE-POINT CUTTING TOOLS. THE NEWLY DEVELOPED SYSTEM EXTRACTS FIVE FEATURES FROM A TWO-DIMENSIONAL IMAGE OF A TOOL (FLANK VIEW) WHICH ARE THEN USED IN A CLASSIFICATION SCHEME. RESULTS OBTAINED FROM TESTS ON A LABORATORY CNC LATHE CORRELATE WELL WITH THOSE OBTAINED USING CONVENTIONAL METHODS.