集成电路与嵌入式系统2024，Vol.24Issue(7)：59-64,6.
基于超分模型与改进Canny算法的零件测量系统
Parts measurement system based on super-resolution model and improved Canny algorithm
摘要
Abstract
In order to solve the problems of low measurement accuracy and poor algorithm adaptability in industrial measurement of part dimensions,a machine vision parts measurement system based on super-resolution model and improved Canny algorithm is designed and proposed.Firstly,the camera is calibrated to obtain the proportional relationship between the pixel distance and the actual size.Secondly,a super-resolution model is introduced and improved to pre-process the input image to obtain an image with clearer edge details.Thirdly,in order to solve the edge detection problem caused by poor lighting conditions in the industrial measurement environment,the Otsu algo-rithm and the double threshold segmentation algorithm are combined,and the Canny edge filtering algorithm is improved by using local threshold segmentation to obtain edge images.Finally,after simultaneously performing circle fitting and straight line fitting on the edge image,the part size results are marked based on the camera calibration results and super-resolution model parameters.The experiment results show that the measurement accuracy of this system can reach 0.001 mm,the average measurement error is 0.007 4 mm,and the overall measurement speed is 6.44 s,which can meet the needs of high-precision industrial measurement.关键词
机器视觉/边缘检测/超分模型/自适应阈值/双阈值分割Key words
machine vision/edge detection/super-resolution model/Otsu/double threshold segmentation分类
矿业与冶金引用本文复制引用
甄国涌,赵继达,储成群,王子硕..基于超分模型与改进Canny算法的零件测量系统[J].集成电路与嵌入式系统,2024,24(7):59-64,6.基金项目
山西省重点研发计划项目(202102100401014). （202102100401014）
