复杂光照下QR码图像二值化算法研究及应用  

Research and application of binarization algorithm of QR code image under complex illumination

作　　者：甘志坚 方俊彬[2,3] 关贺元[1,2] 唐洁媛[1,2] 罗云瀚[1,2,4,3] 余建辉 卢惠辉 张军[1,2] 钟永春[1,2] 陈哲[1,2,4,3] Gan Zhijian;Fang Junbin;Guan Heyuan;Tang Jieyuan;Luo Yunhan;Yu Jianhui;Lu Huihui;Zhang Jun;Zhong Yongchun;Chen Zhe(Engineering Research Center of Visible Light Communications of Guangzhou,Jinan University,Guangzhou 510632, China;Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Education Institutes,Jinan University,Guangzhou 510632,China;Department of Optoelectronic Engineering, Jinan University,Guangzhou 510632,China;Key Laboratory of Visible Light Communications of Guangzhou,Jinan University,Guangzhou 510632,China)

机构地区：[1]暨南大学广州可见光通信工程技术研究中心,广东广州510632 [2]暨南大学广东高校光电信息与传感技术重点实验室,广东广州510632 [3]暨南大学广州可见光通信重点实验室,广东广州510632 [4]暨南大学理工学院光电工程系,广东广州510632

出　　处：《应用光学》2018年第5期667-673,共7页Journal of Applied Optics

基　　金：广东省前沿与关键技术创新专项资金(2014B010120002)

摘　　要：在复杂光照条件下二维码扫码器采集到的图像容易出现整体高亮、阴影区域和局部高亮、阴影区域,使得图像分割阈值确定困难,研究了Sauvola算法中的窗口大小w值和修正因子k值对于QR码图像二值化的影响。针对全局二值化方法抗噪能力差和局部二值化方法处理速度慢的缺陷,提出了一种改进的QR码图像二值化方法,将Otsu和Sauvola算法相结合提升算法抗噪能力,并利用积分图算法提高算法运行效率。实验证明,该方法二值化效果优于经典的二值化方法,平均运行效率比原Sauvola算法提高17倍,提升了识别成功率。In complex illumination conditions,the images collected by two dimensional code scanner are prone to general highlighting with shade and part highlighting with shade,which make it difficult to determine the image segmentation threshold.In Sauvola algorithm,the effect of the window size w value and the correction factor k value on the quick response(QR)code image binarization was studied.Aiming at the shortcomings,such as the poor anti-noise ability of the global binarization method and the slow processing speed of the local binarization method,an improved QR code image binarization method was proposed,which combined the Otsu and Sauvola algorithms to improve the algorithm anti-noise ability,and used the integral graph to improve the algorithm operation efficiency.Experiments show that the binarization effect of this method is better than the classical binarization method,and the average running efficiency is 17 times higher than that of the original Sauvola algorithm,which increases the recognition success rate.

关 键 词：QR码 二值化 修正因子 积分图像 

分 类 号：TN911.73[电子电信—通信与信息系统]