光照不均QR码图像二值化研究  

Study on QR-Coded Image Binarization Methodunder Non-uniformed Illumination

作　　者：路阳[1] 高慧敏[2] 

机构地区：[1]太原科技大学计算机科学与技术学院,太原030024 [2]嘉兴学院机电学院,浙江嘉兴314001

出　　处：《太原科技大学学报》2012年第5期396-400,共5页Journal of Taiyuan University of Science and Technology

基　　金：山西省自然科学基金(2009011011-3);山西省回国留学人员科研资助项目(2011078)

摘　　要：Ostu算法因其具有算法实现简单等特点成为常用的一种图像二值化算法,但其对于不均匀光照下的QR码图像二值化处理效果不佳。针对Ostu算法这一缺点,提出一种解决方法:首先使用改进的同态滤波去除QR图像的不均匀光照的影响,然后采用Ostu算法对QR图像进行二值化。实验表明,使用该算法能有效克服不均匀光照的影响,二值化效果良好,条码识别率提高。Ostu algorithm has become commonly used as image binarization algorithm because of its simplicity in realization, but it can not deal with the QR-Coded image under non-uniformed illumination. This paper puts forward a solution to overcome this disadvantage. Firstly, it adopts the improved homomorphic filtering algorithm to enhance the QR-Coded image quality to eliminate the negative effect of the non-uniformed illumination, then the QR-Coded image is binarized by the Ostu algorithm. Experimental results show that this algorithm can effectively overcomes the influence of non-uniformed illumination, and the recognition rate of the OR code can be improved.

关 键 词：QR码 二值化 同态滤波 OSTU算法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]