An online Identification Method for the Quality Defects of Cigarette Packaging Appearance Based on Machine Vision
Traditional online identification methods for the quality defects of cigarette appearance directly extract the defect features of images,without preprocessing the image data of cigarette appearance,resulting in their low identification accuracy,so this paper proposes an online identification method for the quality defects of cigarette ap-pearance based on machine vision.Firstly,it performs data preprocessing of the images of cigarette appearance,and removes background areas,in order to improve the contrast ratio and the accuracy of extracting the defect features of images.Then,it uses the extracted defect features to design an online identification process for the quality defects of cigarette appearance based on machine vision.Finally,it achieves the online identification of the quality defects of cigarette appearance based on machine vision.Experimental results show that the designed method in this paper holds an identification accuracy rate of 100%and higher identification accuracy.
万方数据
维普
