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Received:October 06, 2010 Revised:November 26, 2010
Received:October 06, 2010 Revised:November 26, 2010
中文摘要: 研究了QR 码图像二值化技术,针对光照不均的QR 图像提出了一种改进的基于背景灰度估计的校正算法。该算法首先根据原图像大小进行分块处理,在此基础上利用改进的灰度估计公式计算分块的灰度值,然后利用双线性内插法设置区块灰度值为估计值,最后用原图像减去估计背景图像得到校正图像,以此克服了光照不均对二值化阈值选取的影响。实验证明,该算法能够对灰度变换范围较大、光照不均的QR 码图像进行有效的校正,得到良好的二值化图像。
Abstract:This paper studies the binarization technique of QR code image and proposes an improved background
gray-level based algorithm for uneven illumination QR code image. Firstly, it cuts the QR image as several blocks based
on the size of original image, then evaluates the gray-value of each block and set block's gray-value with the bilinear
interpolation method. Thirdly, it subtracts the estimated background image from original uneven illumination image get
the corrected image, and with this method to eliminate the bad affection for binarization from nonuniform illumination.
Experiments show that the algorithm can get a better QR binary image effectively for QR code image which has
widespread gray-level and especially for uneven illuminated QR code image.
文章编号: 中图分类号: 文献标志码:
基金项目:四川省科技厅应用基础研究计划(2008JY0114-1)
引用文本:
闫三虎,胡卫东,罗小平.改进二值化算法在QR 码识别中的应用.计算机系统应用,2011,20(6):165-168
YAN San-Hu,HU Wei-Dong,LUO Xiao-Ping.Improved Binarization Algorithm for QR Code Recognition.COMPUTER SYSTEMS APPLICATIONS,2011,20(6):165-168
闫三虎,胡卫东,罗小平.改进二值化算法在QR 码识别中的应用.计算机系统应用,2011,20(6):165-168
YAN San-Hu,HU Wei-Dong,LUO Xiao-Ping.Improved Binarization Algorithm for QR Code Recognition.COMPUTER SYSTEMS APPLICATIONS,2011,20(6):165-168