Abstract:

Aiming at the problem that the film ruptures due to too high or too low temperature in the incubator during film processing without real time detection due to the high temperature and structural obscuration of the incubator， an image detection technology was proposed by a combination with the current machine vision method. This rupture image detection technology can effectively monitor the rupture of the film and reduce the production loss. In the study of the image processing methods for the rupture area of ??the transversely stretched film， the common image enhancement， denoising， and edge segmentation techniques were analyzed comparatively. The preprocessing and segmentation methods suitable for the ruptured image of the transversely stretched film were determined. Through the analysis and comparison of the film rupture images， the rupture modes were divided into the small?scale rupture and longitudinal rupture according to the rupture form， and the visual recognition characteristic parameters for distinguishing the two rupture modes by area and circumference were discovered. These parameters played a positive role in the adjustment of the processing temperature. The experimental results indicated that the proposed detection technology could accurately determine the form of film rupture with an accuracy rate of 92.7 %， which can meet the requirement of industrial production.

Key words: double stretch film, machine vision, defect detection, small area rupture, longitudinal rupture