Thinning of binary image based on stroke trend analysis

LIU Gui-Xiong; SHEN Bai-hua; FENG Yun-qing

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Thinning of binary image based on stroke trend analysis

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- Thinning of binary image based on stroke trend analysis
- Optics and Precision Engineering Vol. 11, Issue 5, Pages: 527-530(2003)
- 作者机构：
  
  华南理工大学, 机械工程学院, 光机电一体化研究所,广东广州,510640
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Received：10 May 2003，
  
  Revised：18 July 2003，
  
  Published Online：15 October 2003，
  
  Published：15 October 2003
- 稿件说明：
移动端阅览
刘桂雄, 申柏华, 冯云庆. 基于笔划趋势分析的二值图像细化方法[J]. 光学精密工程, 2003,(5): 527-530

LIU Gui-xiong, SHEN Bai-hua, FENG Yun-qing. Thinning of binary image based on stroke trend analysis[J]. Editorial Office of Optics and Precision Engineering, 2003,(5): 527-530
刘桂雄, 申柏华, 冯云庆. 基于笔划趋势分析的二值图像细化方法[J]. 光学精密工程, 2003,(5): 527-530 DOI：

LIU Gui-xiong, SHEN Bai-hua, FENG Yun-qing. Thinning of binary image based on stroke trend analysis[J]. Editorial Office of Optics and Precision Engineering, 2003,(5): 527-530 DOI：

摘要

针对普通细化算法大多是基于原始图的中轴线及八邻域进行分析

不可避免导致有噪声点的直线变弯以及笔划交叉或分叉位置产生畸变的问题

在对Zhang算法进行分析和改进的基础上

提出了一种改进的基于笔划趋势预测的细化算法

获得了比较严格八连通的且各向对称的中心骨架

并有效地抑制了笔划交叉处的畸变

具有很好的细化效果和较快的处理速度

已成功运用于车牌自动识别系统中。

Abstract

In order to overcome the drawbacks of thinning based on the axle wire of the original image and eight-neighborhood

which causes some straight-lines with noise to become curves

and stroke distortion at the cross or crotch of strokes

an improved thinning algorithm based on stroke trend analysis is proposed for binary image by analyzing and improving Zhang thinning algorithm

and it can make a skeleton with strictly eight-connected structure available to keep a good symmetry

and control the deformation at the cross or crotch of strakes so that each image can be quickly skeletonized more perfectly.The algorithm proposed in this paper has been successfully applied to vehicle license identifying system.

关键词

Keywords

references

章毓晋. 图像处理和分析[M]. 北京:清华大学出版社,1999. ZHANG Y J. Image processing and analyzing[M]. Beijing: Tsinghua University Press, 1999. (in Chinese)

刘桂雄,申柏华,冯云庆,等. 基于改进的Hough变换图像分割方法[J]. 光学精密工程,2002,10(3):257-260.LIU G X, SHEN B H, FENG Y Q,et al. Study on image segmentation based on improved Hough transform[J]. Optics and Precision Engineering, 2002,10(3):257-260. (in Chinese)

孙星明. 基于知识的细化汉字笔划矫正方法[J]. 现代计算机. 1999,(2):29-30.SUN X M. A knowledge based technique in the correction of strokes of thinned Chinese characters[J]. Modern Computer,1999,(2):29-30. (in Chinese)

霍宇翔. 细化畸变节点形态分析及修正策略研究[J]. 计算机辅助设计与图形学学报,1997,9(6):500-505.HUO Y X. Analysis of node patterns after thinning and research on modification strategy[J]. Journal of CAD and Graphics,1997,9(6):500-505. (in Chinese)

田村秀行. 计算机图像处理技术[M]. 北京:北京师范大学出版社,1986.TIAN CUN X X. Technology of computer image processing[M]. Beijing:Beijing Normal University Press, 1986. (in Chinese)

何永义,夏俊日升.工程图像的矢量化技术[J]. 光学精密工程,2002,10(4):374-378.HE Y Y,XIA J R S. Vectorizational techniques of engineering image[J]. Optics and Precision Engineering, 2002,10(4):374-378.(in Chinese)

HOSEPH S H, PRIDMORE T P. Knowledge-based interpretation of mechanical engineering drawings[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1992,14(9):928～941.

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