高技术通讯2025，Vol.35Issue(10)：1100-1107,8.DOI:10.3772/j.issn.1002-0470.2025.10.007
基于QR码的移动机器人图像自动曝光和识别算法研究
QR code-based automatic image exposure and recognition algorithm research of mobile robots
摘要
Abstract
In quick response(QR)code-based navigation tracking of mobile robots,the changes of environment and illu-mination have a great impact on image quality of QR code.The traditional exposure algorithm relying on average grayscale can easily fail due to the changes of thresholds.Moreover,the exposure time has a great influence on the efficiency of QR code recognition.In this paper,an automatic exposure algorithm is designed using the fusion of image entropy,average gray level and histogram.Then the optimal exposure time is automatically computed to ac-commodate the environment and illumination changes.In order to improve the QR code detection speed and recog-nition efficiency,a new QR code recognition algorithm is designed to improve the speed of QR code detection and recognition by 12％.The experimental results show that the proposed algorithm improves the speed of QR code rec-ognition and the tracking efficiency of mobile robots.关键词
移动机器人/二维码/导航/图像熵/曝光算法Key words
mobile robots/quick response code/navigation/image entropy/exposure algorithm引用本文复制引用
林叶贵,吴昊,邢科新,何德峰..基于QR码的移动机器人图像自动曝光和识别算法研究[J].高技术通讯,2025,35(10):1100-1107,8.基金项目
国家自然科学基金(62173303)和浙江省属高校基本科研业务费(RF-C2020003)资助项目. （62173303）
