基于阈上随机共振的侯马盟书虚拟修复方法
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  • 英文篇名:Virtual Restoration Method of Houma Convenant Tablets Based on Suprathreshold Stochastic Resonance
  • 作者:蔺素珍 ; 张商珉 ; 师晓波
  • 英文作者:LIN Suzhen;ZHANG Shangmin;SHI Xiaobo;School of Computer and Control Engineering, North University of China;
  • 关键词:侯马盟书 ; 虚拟修复 ; 随机共振 ; 轮廓提取
  • 英文关键词:Houma convenant tablets;;virtual restoration;;suprathreshold stochastic resonance;;contour extraction
  • 中文刊名:GCTX
  • 英文刊名:Journal of Graphics
  • 机构:中北大学计算机与控制工程学院;
  • 出版日期:2017-06-15
  • 出版单位:图学学报
  • 年:2017
  • 期:v.38;No.133
  • 基金:山西省重点研发(指南)项目(201603D321128)
  • 语种:中文;
  • 页:GCTX201703010
  • 页数:6
  • CN:03
  • ISSN:10-1034/T
  • 分类号:67-72
摘要
针对山西侯马盟书严重退化问题,对其文字的提取和虚拟修复问题进行了研究。将图像处理算法与人机交互相结合,提出一种基于阈上随机共振的侯马盟书虚拟修复方案。首先将原始RGB盟书图像变换到色调、饱和度、亮度(HSV)颜色空间,再利用阈上随机共振对亮度图像进行复原,然后通过改进的双边滤波Canny算子提取文字轮廓信息,并结合人机交互对确实的文字轮廓进行修复;最后利用颜色迁移算法将经过填充的文字恢复成原有朱砂红颜色。实验结果证明,该方法能有效修复笔画连通性差的模糊字迹和褪掉的色彩。
        On the issue that Shanxi Houma convenant tablets is serious degraded, this paper does researches on extraction the text and virtual restoration. Combining image processing algorithms and human-computer interaction, a method of Houma convenant tablets virtual restoration based on suprathreshold stochastic resonance was proposed. Firstly, transform the original RGB image to hue saturation value(HSV) color space, and restore the brightness image by suprathreshold stochastic resonance(SSR), then use modified bilateral filtering Canny operator to extract text contour information, and combine with human-computer interaction to text contour restoring, finally, adopt the method of color transfer to restore the text after filling into the original cinnabar color. Experimental results show that the fuzzy words with poor stroke connectivity and faded color of Houma convenant tablets can be repaired effectively by digital image processing.
引文
[1]KAVITHA A S,SHIVAKUMARA P,KUMAR G H,et al.Text segmentation in degraded historical document images[J].Egyptian Informatics Journal,2016,17:189-197.
    [2]吕继增.基于数字图像的碑文文字提取及三维展示[D].西安:西安电子科技大学,2013.
    [3]JHAA R K,CHOUHAN R.Dynamic stochastic resonance-based grayscale logo extraction in hybrid SVD-DCT domain[J].Journal of the Franklin Institute,2014,351(5):2938-2965.
    [4]BENZI R,SUTERA A,VULPIANI A.The mechanism of stochastic resonance[J].Journal of Physics A:Mathematical and General,1981,14(11):453-457.
    [5]蔺素珍,杨风暴,吉琳娜,等.基于阈上随机共振的弱信号双色中波红外图像融合[J].红外与毫米波学报,2011,30(6):546-550.
    [6]DAKUA S P,ABINAHED J,ALANSARI A A.Pathological liver segmentation using stochastic resonance and cellular automata[J].Journal of Visual Communication and Image Representation,2016,34:89-102.
    [7]刘英杰,杨风暴,吉琳娜,等.一种古建墙壁受污题记文字图像边缘提取方法[J].图学学报,2015,36(5):783-788.
    [8]杜航行,黄梓瑜,何佳蓉.基于小波变换图像边缘检测的研究[J].自动化与仪器仪表,2016(1):13-14.
    [9]SHANMUGAVADIVU P,KUMAR A.Modified eight-directional canny for robust edge detection[C]//International Conference on Contemporary Computing and Informatics(IC3I).Mysor,India.New York:IEEE Press,2014:751-756.
    [10]蔺素珍,张商珉,朱小红,等.基于骨架提取和颜色迁移的古代碑文虚拟修复[J].计算机工程与设计,2016,37(12):3311-3315.

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