Research on Image Segmentation Method for NvShu Characters Based on Local Adaptive Algorithm

SUN Yang-guang; CAI Zhi-hua

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Research on Image Segmentation Method for NvShu Characters Based on Local Adaptive Algorithm

更新时间：2026-09-04

- Research on Image Segmentation Method for NvShu Characters Based on Local Adaptive Algorithm
- Vol. 31, Issue 3, Pages: 142-145(2014)
- 作者机构：
  
  1. 1 中南民族大学机构计算机科学学院,湖北,武汉,430074
  2. 2 武汉大学软件工程国家重点实验室机构,湖北,武汉,430072
- 作者简介：
- 基金信息：
- DOI：
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- Published：2014
- 稿件说明：
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孙阳光, 蔡志华. 一种基于局部自适应的女书字符图像分割算法[J]. 微电子学与计算机, 2014, 31(3): 142-145,149.

SUN Yang-guang, CAI Zhi-hua. Research on Image Segmentation Method for NvShu Characters Based on Local Adaptive Algorithm[J]. 2014, 31(3): 142-145.
孙阳光, 蔡志华. 一种基于局部自适应的女书字符图像分割算法[J]. 微电子学与计算机, 2014, 31(3): 142-145,149. DOI：

SUN Yang-guang, CAI Zhi-hua. Research on Image Segmentation Method for NvShu Characters Based on Local Adaptive Algorithm[J]. 2014, 31(3): 142-145. DOI：

摘要

针对女书字符的结构特点，结合LLT局部阈值算法的基本思想，通过在局部窗口内引入基于最大类间方差的OTSU算法，并设计相应的阈值修正参数，给出了一种基于局部自适应的女书字符图像分割方法，从而实现了局部阈值的自动获取.通过与OTSU算法相比，该算法不仅具有较强的抗噪能力，而且较好克服了女书古籍文献中常见的光照不均匀性问题.实验结果进一步验证了该算法的适应性和鲁棒性.

Abstract

For the structural characteristics of NvShu characters

by combining the basic idea in LLT local threshold algorithm and introducing OTSU algorithm based on maximal between-class variance into local windows

and designing the corresponding modify parameters for the threshold

an image segmentation method for NvShu characters image based on adaptive logical algorithm was presented in this paper

so that the automatic acquisition of local threshold was achieved.Compared with OTSU algorithm

the proposed algorithm not only has strong anti-noise capability

but better overcome the common problem with uneven illumination in NvShu ancient literature.Experimental results demonstrated its feasibility and robustness.

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