不均匀光照和重影的仪表图像二值化方法
孙国栋, 徐昀, 徐亮, 张航, 柳晨康. 不均匀光照和重影的仪表图像二值化方法[J]. 应用光学, 2020, 41(1): 74.
Guodong SUN, Yun XU, Liang XU, Hang ZHANG, Chenkang LIU. Binarization method of instrument image with uneven illumination and ghosting[J]. Journal of Applied Optics, 2020, 41(1): 74.
[1] 陈缨, 岳长喜, 杨勇波, , et al. 配网高压电能计量装置整体校准技术研究[J]. 电测与仪表, 2017, 54(9): 35-39.
CHEN Ying, YUE Changxi, YANG Yongbo, . Research on the overall calibration technology of high voltage power metering device in distribution network[J]. Electrical Measurement & Instrumentation, 2017, 54(9): 35-39.
[2] 陈南南, 董坤煌, 高凤强, , et al. 基于数字识别的数显仪器数据远程传输系统[J]. 仪表技术与传感器, 2018(6): 39-44.
CHEN Nannan, DONG Kunhuang, GAO Fengqiang, . Remote data transmission system for digital display instrument based on digit recognition[J]. Instrument Technique and Sensor, 2018(6): 39-44.
[3] 刘自立, 周洪, 余力, , et al. 基于投影矩阵法的仪表字符实时识别系统[J]. 仪表技术与传感器, 2008(8): 98-100.
LIU Zili, ZHOU Hong, YU Li, . Real-time instrument character recognition system based on projective matrix method[J]. Instrument Technique and Sensor, 2008(8): 98-100.
[4] 肖坚. 基于学习的OCR字符识别[J]. 计算机时代, 2018(7): 48-51.
XIAO Jian. OCR character recognition based on Learning[J]. Computer Era, 2018(7): 48-51.
[5] 甘志坚, 方俊彬, 关贺元, , et al. 复杂光照下QR码图像二值化算法研究及应用[J]. 应用光学, 2018, 39(5): 667-673.
[6] 陈思. 基于Otsu算法的车牌图像二值化及其Matlab实现[J]. 长春师范学院学报(自然科学版), 2012, 31(3): 33-35.
CHEN Si. The license plate image binarization based on otsu algorithm and its MATLAB realization[J]. Journal of Changchun Teachers College, 2012, 31(3): 33-35.
[7] 严曲, 赵跃龙. 一种基于迭代阈值法的身份证图像二值化算法研究[J]. 计算机测量与控制, 2005, 13(6): 595-597.
YAN Qu, ZHAO Yuelong. Study of binarization method of identification card scanned image[J]. Computer Automated Measurement & Control, 2005, 13(6): 595-597.
[8] WONG A K C, SAHOO P K. A gray-level threshold selection method based on maximum entropy principle[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1989, 19(4): 866-871.
[9] 强枫, 尚明. Bernsen法在字符分割领域的应用[J]. 黑龙江科技信息, 2014(3): 144-145.
QIANG Feng, SHANG Ming. Application of Bernsen method in the field of character segmentation[J]. Heilongjiang Science and Technology Information, 2014(3): 144-145.
[10] NIBLACK W. An introduction to digital image processing[M]. Englewood Cliffs: PrenticeHall, 1986.
[11] SAUVOLA J, PIETIKÄINEN M. Adaptive document image binarization[J]. Pattern Recognition, 2000, 33(2): 225-236.
[12] BRADLEY D, ROTH G. Adaptive thresholding using the integral image[J]. Journal of Graphics Tools, 2007, 12(2): 13-21.
[13] WELLNER P D. Adaptive thresholding for the DigitalDesk[J]. Xerox EPC, 1993, 110: 1-19.
[14] MEI X F, XIE F Y, JIANG Z G. Uneven illumination removal based on fully convolutional wk f dermoscopy images[C]2016 13th International Computer Conference on Wavelet Active Media Technology Infmation Processing (ICCWAMTIP). USA: IEEE, 2016.
[15] LONG J, SHELHAMER E, DARRELL T. Fully convolutional wks f semantic segmentation[C]2015 IEEE Conference on Computer Vision Pattern Recognition (CVPR). USA: IEEE, 2015.
[16] SIMONYAN K, ZISSERMAN A. Very deep convolutional wks f largescale image recognition[C]. USA: arXiv, 2015.
孙国栋, 徐昀, 徐亮, 张航, 柳晨康. 不均匀光照和重影的仪表图像二值化方法[J]. 应用光学, 2020, 41(1): 74. Guodong SUN, Yun XU, Liang XU, Hang ZHANG, Chenkang LIU. Binarization method of instrument image with uneven illumination and ghosting[J]. Journal of Applied Optics, 2020, 41(1): 74.
PDF全文
