CAJ | 학술논문

针对贴片机中表面贴装器件（ Surface Mount Device ， SMD）的视觉测量问题，研究了SMD的图像识别和测量算法。基于视觉飞行对中技术获取SMD图像。根据SMD的几何特征，提出了用于其图像处理流程的高斯滤波、迭代算法和最小面积外接矩形算法，并分别在Halcon和OpenCV两大机器视觉平台上进行对比分析与验证。
침대첩편궤중표면첩장기건（ Surface Mount Device ， SMD）적시각측량문제，연구료SMD적도상식별화측량산법。기우시각비행대중기술획취SMD도상。근거SMD적궤하특정，제출료용우기도상처리류정적고사려파、질대산법화최소면적외접구형산법，병분별재Halcon화OpenCV량대궤기시각평태상진행대비분석여험증。
According to the visual measurement problems of surface mount device ( SMD) on Chip Mounter , the image recognition and measurement algorithms about SMD were investigated .The SMD image was acquired by the vi-sion on-the-fly technology .The Gauss filter algorithm , iterative algorithm and minimum area circumscribed rectangle algorithm for image recognition and measurement of SMD were presented based on its geometrical characteristic .The corresponding comparison analysis and verification have been implemented based on the Halcon and OpenCV machine vision platform.