基于小波分解的客运列车车号定位及阈值分割
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摘要
针对客运列车车号特征,提出一种基于小波分解的车号定位及阈值分割方法。首先对灰度图像进行中值滤波和拉普拉斯锐化处理,然后采用小波分解和改进的Canny边缘检测算法,并结合形态学处理和车号先验知识对车号精确定位,最后,结合Niblack算法,提出一种连通域个数指导阈值分割的方法。实验结果表明,该算法能适应不同光照条件下多型车厢的车号定位,二值化效果好,具有较好的鲁棒性。
Aiming at the features of passenger train number,a new method,which is based on wavelet decomposition,is proposed for the localization and threshold segmentation of train number. The gray-level image is firstly smoothed by using median fil-ter,and followed by Laplace sharpening processing. Then the wavelet decomposition and improved Canny edge detection algo-rithm are used,and the morphological processing prior knowledge of the rehicle number are used to locate the region accurately. Fi-nally,a method of threshold segmentation combined Niblack with the number of connected domain is proposed. As experimental re-sults show,this method is more insensitive to different types of train number and illumination variance,and performs better in binarization and robustness.
Aiming at the features of passenger train number,a new method,which is based on wavelet decomposition,is proposed for the localization and threshold segmentation of train number. The gray-level image is firstly smoothed by using median fil-ter,and followed by Laplace sharpening processing. Then the wavelet decomposition and improved Canny edge detection algo-rithm are used,and the morphological processing prior knowledge of the rehicle number are used to locate the region accurately. Fi-nally,a method of threshold segmentation combined Niblack with the number of connected domain is proposed. As experimental re-sults show,this method is more insensitive to different types of train number and illumination variance,and performs better in binarization and robustness.
引文
[1]杨绍华,李建勇,王恒.基于BP神经网络的货车车号识别方法研究[J].铁路计算机应用,2007,16(12):4-7.YANG Shaohua,LI Jianyong,WANG Heng. Research onmethod of vehicle number recognition based on BP NeuralNetwork[J]. Railway Computer Application,2007,16(12):4-7.
[2]陈春雷,王阳萍,祝咏升.基于视频列车车号识别系统的研究[J].兰州交通大学学报,2007,26(6):55-61.CHEN Chunlei,WANG Yangping,ZHU Yongsheng. Re-search on Recognition System of Train Character Based onVideo[J]. Journal of Lanzhou Jiaotong University,2007,26(6):55-61.
[3]杨大志.基于图像处理的铁路货车车号识别及其应用研究[D].成都:西南交通大学,2010:29-35.YANG Dazhi. Train Wagon Number Recognition and Ap-plication Based on Image Processing[D]. Chengdu:South-west Jiaotong University,2010:29-35.
[4]王欣蔚.基于深度学习的TEDS系统车号识别算法研究[D].北京:北方工业大学,2016:17-22.WANG Xinwei. Research on TEDS Character RecognitionAlgorithm Based on Deep Learning[D]. Beijing:NorthChina University of Technology,2016:17-22.
[5] NIBLACK W. An introduction to image processing[J].Applied Computing,1986,15(4):219-229.
[6]GUO J C,FEI Y L,HUA X P. Research on Vein ImagePreprocessing Based on NiBlack Algorithm[C]//Informa-tion and Management Sciences--Processings of the NinthInternational Conference on Information and ManagementSciences,2010:190-197.
[7] KILLINGBECK J P,JOLICARD G. The Niblack-Nigamiterative method revisited[J]. Journal of MathematicalChemistry,2010,47(3):929-936.
[8]曹怀信,郭志华.小波分析基础[M].北京:科学出版社,2016:152-164.CAO Huaixin,GUO Zhihua. Fundamental Wavelet Analy-sis[M]. Beijing:Science Press,2016:152-164.
[9]崔男,李婧,孙艳蕊.基于数学形态学的渐变色字符定位算法[J].计算机与数字工程,2016(10):2011-2014.CUI Nan,LI Jing,SUN Yanrui. Character Location Algo-rithm for the Image of Gradient Color Character Based onMathematical Morphology[J]. Computer and Digital Engi-neering,2016(10):2011-2014.
[10]徐天芝,张贵仓,贾园.基于形态学梯度的分水岭彩色图像分割[J].计算机工程与应用,2016(11):200-203.XU Tianzhi,ZHANG Guicang,JIA Yuan. Color imagesegmentation based on morphology gradients and wa-ter-shed algorithm[J]. Computer Engineering and Appli-cations,2016(11):200-203.
[11]许宏科,秦严严,陈会茹.一种基于改进Canny的边缘检测算法[J].红外技术,2014(3):210-214.XU Hongke,QIN Yanyan,CHEN Huiru. An ImprovedAlgorithm for Edge Detection Based on Canny[J]. Infra-red Technology,2014(3):210-214.
[12]张大坤,罗三明.形态学中闭运算功能的扩展及其应用[J].计算机工程与应用,2010(27):185-187.ZHANG Dakun,LUO Sanming. Function extension ofmorphological closing operation and its application[J].Computer Engineering and Applications,2010(27):185-187.
[13]杨叶梅.基于改进光流法的运动目标检测[J].计算机与数字工程,2011(9):108-110.YANG Yemei. Moving Objects Tracking Based on Im-proved Optical Flow Method[J]. Computer and DigitalEngineering,2011(9):108-110.
[14]OTSU N. A threshold selection method from gray-levelhistograms[J]. IEEE Trans. SMC,1979,9(1):62-66.
[15]李了了,邓善熙,丁兴号.基于大津法的图像分块二值化算法[J].微计算机信息杂志,2005(24):76-77.LI Liaoliao,DENG Shanxi,DING Xinghao. Binarization Algorithm Based on Image Partition Derived from Da-Jing Method[J]. Control and Automation,2005(24):76-77.
[2]陈春雷,王阳萍,祝咏升.基于视频列车车号识别系统的研究[J].兰州交通大学学报,2007,26(6):55-61.CHEN Chunlei,WANG Yangping,ZHU Yongsheng. Re-search on Recognition System of Train Character Based onVideo[J]. Journal of Lanzhou Jiaotong University,2007,26(6):55-61.
[3]杨大志.基于图像处理的铁路货车车号识别及其应用研究[D].成都:西南交通大学,2010:29-35.YANG Dazhi. Train Wagon Number Recognition and Ap-plication Based on Image Processing[D]. Chengdu:South-west Jiaotong University,2010:29-35.
[4]王欣蔚.基于深度学习的TEDS系统车号识别算法研究[D].北京:北方工业大学,2016:17-22.WANG Xinwei. Research on TEDS Character RecognitionAlgorithm Based on Deep Learning[D]. Beijing:NorthChina University of Technology,2016:17-22.
[5] NIBLACK W. An introduction to image processing[J].Applied Computing,1986,15(4):219-229.
[6]GUO J C,FEI Y L,HUA X P. Research on Vein ImagePreprocessing Based on NiBlack Algorithm[C]//Informa-tion and Management Sciences--Processings of the NinthInternational Conference on Information and ManagementSciences,2010:190-197.
[7] KILLINGBECK J P,JOLICARD G. The Niblack-Nigamiterative method revisited[J]. Journal of MathematicalChemistry,2010,47(3):929-936.
[8]曹怀信,郭志华.小波分析基础[M].北京:科学出版社,2016:152-164.CAO Huaixin,GUO Zhihua. Fundamental Wavelet Analy-sis[M]. Beijing:Science Press,2016:152-164.
[9]崔男,李婧,孙艳蕊.基于数学形态学的渐变色字符定位算法[J].计算机与数字工程,2016(10):2011-2014.CUI Nan,LI Jing,SUN Yanrui. Character Location Algo-rithm for the Image of Gradient Color Character Based onMathematical Morphology[J]. Computer and Digital Engi-neering,2016(10):2011-2014.
[10]徐天芝,张贵仓,贾园.基于形态学梯度的分水岭彩色图像分割[J].计算机工程与应用,2016(11):200-203.XU Tianzhi,ZHANG Guicang,JIA Yuan. Color imagesegmentation based on morphology gradients and wa-ter-shed algorithm[J]. Computer Engineering and Appli-cations,2016(11):200-203.
[11]许宏科,秦严严,陈会茹.一种基于改进Canny的边缘检测算法[J].红外技术,2014(3):210-214.XU Hongke,QIN Yanyan,CHEN Huiru. An ImprovedAlgorithm for Edge Detection Based on Canny[J]. Infra-red Technology,2014(3):210-214.
[12]张大坤,罗三明.形态学中闭运算功能的扩展及其应用[J].计算机工程与应用,2010(27):185-187.ZHANG Dakun,LUO Sanming. Function extension ofmorphological closing operation and its application[J].Computer Engineering and Applications,2010(27):185-187.
[13]杨叶梅.基于改进光流法的运动目标检测[J].计算机与数字工程,2011(9):108-110.YANG Yemei. Moving Objects Tracking Based on Im-proved Optical Flow Method[J]. Computer and DigitalEngineering,2011(9):108-110.
[14]OTSU N. A threshold selection method from gray-levelhistograms[J]. IEEE Trans. SMC,1979,9(1):62-66.
[15]李了了,邓善熙,丁兴号.基于大津法的图像分块二值化算法[J].微计算机信息杂志,2005(24):76-77.LI Liaoliao,DENG Shanxi,DING Xinghao. Binarization Algorithm Based on Image Partition Derived from Da-Jing Method[J]. Control and Automation,2005(24):76-77.
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