CAJ | 학술논문

炸药包装过程中，药卷外表面会出现各类缺陷，严重影响了产品包装质量。针对此问题，本文提出利用机器视觉技术，在线检测药卷缺陷并进行识别。在图像预处理基础上，对药卷进行定位，并提取缺陷特征，然后对缺陷进行计算。仿真实验表明，本文提出方法可以在线检测药卷缺陷，满足快速包装生产线的需求。
작약포장과정중，약권외표면회출현각류결함，엄중영향료산품포장질량。침대차문제，본문제출이용궤기시각기술，재선검측약권결함병진행식별。재도상예처리기출상，대약권진행정위，병제취결함특정，연후대결함진행계산。방진실험표명，본문제출방법가이재선검측약권결함，만족쾌속포장생산선적수구。
Some kinds of defections are found inside the cartridged explosives in the packing processes of industrial explosives. It will depress the production quality of packing. An approach is presented in the paper for inspecting the defection of cartridged explosives and identifying using the machine vision technology. After preprocessing the images acquired from the real process, the cartridged explosives are located, and the defection feature is extracted, as well as the defections are computed. The experiments show that the proposed method can inspect the defection of cartridged explosives and satisfy the requirement of the packing line.