基于机器视觉技术的烟用包装膜磨损程度测定方法

Method for Determining Abrasive Wear of Cigarette Packing Film Based on Machine Vision Technology

为了快速准确地测定烟用包装膜的磨损程度,提出了一种基于机器视觉技术的烟用包装膜磨损程度测定方法:通过改造后的摩擦系数测定仪模拟烟用包装膜的磨损情况,针对烟用包装膜磨损后的表面形貌,通过成像装置采集样品图像,对图像进行边缘轮廓提取、二值化、图像分割和去除噪声处理后获取了烟用包装膜的完整特征,利用图像处理分析软件计算了烟用包装膜的磨损程度。结果表明,该方法能够满足烟用包装膜磨损程度测定的需求,测试结果稳定可靠,测量误差仅0.1%。

In order to determine the abrasive wear on cigarette packing film, a method was proposed based on machine vision technology. A friction coefficient meter was modified to simulate the abrasive wear on the film, and a digital camera was used to collect the image of worn film. All the characteristic data relevant to the film image were obtained through edge contour extracting, binary processing, image segmentation and denoise processing, and the degree of abrasive wear was calculated by an image processing software. The results indicated that this method was accurate, stable and reliable for determining the abrasive wear of cigarette packing film with the measurement error of 0.1%.