基于计算机视觉的切膜机薄膜表面缺陷检测系统的设计

Design of Cutting Film Machine for Surface Defect Detection Based on Machine Vision

摘要:

在切膜机的生产线上,需要对薄膜进行不同大小的切割；然而,实际生产中的薄膜的表面会存在各种缺陷,需要对其进行缺陷检测,检测内容主要包括划痕、污渍等；针对传统人工检测方法的低效率性,提出基于计算机视觉的自动检测设计方案,同时给出一种改进的适用于缺陷检测的背景差法；实验验证了方法的有效性和检测算法的可行性,实现了薄膜缺陷的快速检测,提高了生产率。

Abstract:

The cutting film machine production line is used for different sizes of film cutting, and the surface of the film of actual production, however, there are various defects, mainly includes the scratches, stains, etc. In view of the traditional manual detection methods inefficient, this article put forward the design of automatic detection based on computer vision, and an improved background difference method for defect detection. Experiments verify the effectiveness of the method and the feasibility of the detection algorithm, realize the rapid detection of film defects and improve the productivity.