CAJ | 학술논문

对基于机器视觉的黑色O形橡胶圈缺陷检测系统展开了研究，对采集到的橡胶圈图像进行相关处理以便检测出缺陷特征，通过改进后的中值滤波滤除噪声，建立图像直方图了解缺陷特征的灰度分布情况，比较了几种边缘检测算子的检测效果，并通过实验仿真验证了算法的可行性。
대기우궤기시각적흑색O형상효권결함검측계통전개료연구，대채집도적상효권도상진행상관처리이편검측출결함특정，통과개진후적중치려파려제조성，건립도상직방도료해결함특정적회도분포정황，비교료궤충변연검측산자적검측효과，병통과실험방진험증료산법적가행성。
The machine vision-based defect detection system for the O-ring made of black rubber was studied;and the O-ring’ s image collected was processed to find out defect ’ s characteristics; making use of the im-proved median filtering to filter noise and to build image histogram so that gray level distribution of the defect ’ s features can be found .Having detection results of several edge detection operators compared and simulated through experiments can prove algorithm ’ s feasibility .