Extraction of symbol line-features based on improved Hough transformation

CHEN Hong-bo; WANG Qiang; XU Xiao-rong; ZHANG Chao-ying

doi:null

您当前的位置：

首页 >

文章列表页 >

Extraction of symbol line-features based on improved Hough transformation

更新时间：2020-08-12

- Extraction of symbol line-features based on improved Hough transformation
- Optics and Precision Engineering Vol. 11, Issue 6, Pages: 632-636(2003)
- 作者机构：
  
  广西师范大学, 物理与信息工程学院,广西桂林,541004
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Received：16 March 2003，
  
  Revised：15 October 2003，
  
  Published Online：15 December 2003，
  
  Published：15 December 2003
- 稿件说明：
移动端阅览
陈洪波, 王强, 徐晓蓉, 张超英. 基于改进Hough变换的符号线段特征提取[J]. 光学精密工程, 2003,(6): 632-636

CHEN Hong-bo, WANG Qiang, XU Xiao-rong, ZHANG Chao-ying. Extraction of symbol line-features based on improved Hough transformation[J]. Editorial Office of Optics and Precision Engineering, 2003,(6): 632-636
陈洪波, 王强, 徐晓蓉, 张超英. 基于改进Hough变换的符号线段特征提取[J]. 光学精密工程, 2003,(6): 632-636 DOI：

CHEN Hong-bo, WANG Qiang, XU Xiao-rong, ZHANG Chao-ying. Extraction of symbol line-features based on improved Hough transformation[J]. Editorial Office of Optics and Precision Engineering, 2003,(6): 632-636 DOI：

摘要

研究了数学表达式识别中符号线段特征的提取问题.为正确提取符号的线段特征及其一些相关属性

提高识别系统的符号识别率

对Hough变换的局限性进行了分析

并作了一些改进

改进算法在原算法的基础上增加了线段的连续性的检测以及相关属性的提取

如线段数目、方向(角度)以及始末端点等.实验证明

该算法能有效地提取出符号线段及其一些属性

可应用于其他识别系统的符号特征提取.

Abstract

In order to correctly extract the line-features of symbols and some of their attributes

Hough transformation has been improved based on the analysis of its limitations

and it has therefore the additional inspection of line continuity and extraction of associated attributes

such as number

direction (angle)

start and finish of lines. Experimental results show that the algorithm proposed can be used to extract symbol lines and some of their attributes

and it can be used for extraction of symbol features in other recognition systems as well.

关键词

Keywords

references

CHAN K F,YEUNG D Y. Mathematical expression recognition:a survey[J].International Journal on Document Analysis and Recognition,2000,3(1):3-5.

朱淼良.计算机视觉[M].浙江:浙江大学出版社,1997.HU M L.Computer vision[M].Zhejiang:Zhejiang University Press,1997.(in Chinese)

胡占义,杨长江,马颂德.Hough变换的新定义[J].计算机学报,1997,20(8):744-752.ZHU ZH Y,YANG CH J,MA S D.A new definition of the Hough transformation[J].Chinese J Computers,1997, 20(8):744-752.(in Chinese)

王强,胡建平.一种用于圆检测的快速Hough变换算法[J].小型微型计算机系统,2000,21(9):970-973.WANG Q, HU J P. A high speed Hough transformation algorithm for circle detection[J].Mini-micro System,2000,21(9):970-973.(in Chinese)

郭强,陈桂林. 基于Hough变换的遥感图像相干干扰分析[J].光学精密工程,2001,9(2):121-126.GUO Q,CHEN G L.Analysis of correlation jam in the remote sensing image based on the transformed space Hough algorithm[J].Optics and Precision Engineering,2001,9(2):121-126.(in Chinese)

王强,胡维平.Hough变换实时检测算法研究[J].计算机工程与设计,2001,22(3):76-80.WANG Q, HU W P.The study of Hough transformation real-time detect algorithm[J].Computer Engineering and Design,2001,22(3):76-80.(in Chinese)

刘桂雄,申柏华.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.Study of image segmentation based on improved Hough transform[J].Optics Engineering and Design,2002,10(3):257-260.(in Chinese)

Views

993

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Hyperspectral images feature extraction and classification based on fractional differentiation

Lightweight deep global-local knowledge distillation network for hyperspectral image scene classification

Dense pedestrian detection algorithm in multi-branch non-anchor frame network

Application of SENet generative adversarial network in image semantics description

Semi-supervised dual path network for hyperspectral image classification

Related Author

LIU Jing

LI Yang

LIU Yi

LIU Yingxu

PU Chunyu

XU Diankun

YANG Yichuan

HUANG Hong

Related Institution

School of Electronic Engineering， Xidian University

School of Electronic Engineering， Xi’an University of Posts and Telecommunications

Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China， Chongqing University

Measurement and Control Technology and Instrument major， College of Optoelectronic Engineering， Chongqing University

School of Electrical Engineering， XinJiang University

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰