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一种改进的针对退化文本图像的二值化方法 被引量：6

An Improved Binarization Method for Degraded Document Image
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摘要 在经典的Niblack方法的基础上提出了一种改进的针对退化文本图像的二值化方法,该方法仅在文本区域周围较小范围内进行局部阈值计算,在大大减少运算量的同时,克服了Niblack方法容易产生大量背景噪声的缺点,与另外一种同样基于Niblack的Sauvola方法相比较,对于低对比度的退化文本图像有更好的适应性。 An improved binarization method for degraded document image on the basis of classical Niblack method is proposed. The method calculates a local threshold in a small region around the text. It not only re- duces the computation complexity but also overcomes the problem of background noises that exist in Niblack method. Comparing with Sauvola method which is also on the basis of Niblaek, proposed method has better a- daptability for low-contrast degraded document image.
作者 樊汝策 王庆 翟正军 赵荣椿
机构地区 西北工业大学计算机学院
出处 《测控技术》 CSCD 北大核心 2013年第5期29-31,43,共4页 Measurement & Control Technology
关键词 对比度图像 OTSU 形态学运算 Niblack contrast image Otsu morphological operation Niblack
分类号 TP391.43 [自动化与计算机技术—计算机应用技术]
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参考文献7

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同被引文献49

  • 1刘纪红,王铖媛.一种基于自适应阈值的图像二值化算法[C]//2009中国控制与决策会议论文集(3).沈阳:《控制与决策》编辑委员会,2009:3958-3962.
  • 2EPSHTEIN B, OFEK E, WEXLER Y. Detecting text in natural scenes with stroke width transform [ C ]//Proc of IEEE Conference on Com- puter Vision and Pattern Recognition. [ S. 1. ] : IEEE Press, 2010 : 2963-2970.
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  • 4DU Yu-ning, DUAN Gen-quan, A1 Hai-zhou. Context-based text de- tection in natural scenes [ C]//Proc of the 19th IEEE International Conference on Image Processing. [ S. 1. ] : IEEE Press,2012: 1857-1860.
  • 5YI Chu-cai,TIAN Ying-li. Text detection in natural scene images by stroke Gabor words [ C ]//Proc of the 12th International Conference on Document Analysis and Recognition. [ S. 1. ] :IEEE Press,2011:177- 181.
  • 6PHAN T Q, SHIVAKUMARA P, TAN C L. A Laplacian method for video text detection [ C ]//Proc of the 10th International Conference on Document Analysis and Recognition. [ S. 1. ] : IEEE Press, 2009 : 66- 0.
  • 7ZHOU Zhi-wei, LI Lin-lin, TAN C L. Edge based binarization for video text images[ C ]//Proc of the 20th International Conference on Pattern Recognition. [ S. 1. ] : IEEE Press,2010 : 133-136.
  • 8ANTHIMOPOULOS M, GATOS B, PRATIKAKIS I, et al. Detecting text in video frames[ C]//Proc of the 4th International Conference on Signal Processing;Pattern Recognition and Applications. 2007:40-44.
  • 9AGHAJARI G, SHANBEHZADEH J, SARRAFZADEH A. A text lo- calization algorithm in color image via new projection profile [ C ]// Proc of International Multiconference of Engineers and Computer Scientists. 2010.
  • 10CHOI J H, LEE H Y, LEE H K. Color laser printer forensic based on noisy feature and support vector machine classifier [ J ]. Multimedia Tools and Applications,2013,67(2) :363-382.

引证文献6

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测控技术
2013年 第5期

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