机器视觉技术对纸质包装切割压痕设备控制性能的改进设计

针对在用NRG-P型切割压痕设备存在的问题，提出用机器视觉这种新型的检测方法对其进行控制性能改进. 改进的主要任务是原点位置识别和偏差角度校正，并通过图像采集、图像处理手段对这两个量求解. 图像处理过程包括图像二值化、图像降噪、图像边缘检测和图像标定等，同时还设计了CAN总线驱动电路. 最后通过坐标系旋转变换，修正了刀具的运动轨迹，提高了加工精度.

Control Performance Improvement of Cutting and Indentation Equipment in Paper Packing with Machine Vision Technology

Due to problems of NRG-P type cutting and indentation equipment, a new test method, the machine vision technology, was presented to improve its control performance. The main tasks were the recognition of the origin position and correction of the deviation angle, which were solved by the image collecting and image processing technology. The image processing included binarization, noise filtering, edge detecting, and calibration of image. Meanwhile, the driving circuit of CAN was designed. Moreover, the cutter movement orbits were amended and the machining accuracy was improved by the transform of the coordinate system rotation.