计算机视觉在条形码缺陷检测中的应用

提出一种新的基于计算机视觉技术的识别方法.通过各种计算机视觉算法的合理配置,达成对缺陷条形码的修正和识别.在预处理阶段,采取线性灰度化方法和Ostu阈值分割方法,增强黑色条纹和白色背景之间的对比度;在条纹定位阶段,采取Canny边缘检测和Hough变换,有效定位黑色条纹对应的直线特征.实验结果表明:该方法对缺陷条形码的识别是有效的.

Application of Computer Vision in Defect Bar Code Detection

A new recognition method based on computer vision technology is put forward. Through the reasonable configuration of various computer vision algorithms, the correction and identification of defective bar code is achieved. In the preprocessing stage, the linear gray level method and the Ostu threshold segmentation method are adopted to enhance the contrast between the black stripes and white background. In the phase of fringe orientation, Canny edge detection and Hough transform are adopted to effectively locate the linear features of black stripes. The experimental results show that this method is effective for the identification of defective bar code.