Study of image segmentation based on improved Hough transform

LIU Gui-xiong; SHEN Bai-hua; FENG Yun-qing; HU Cun-yin; YI Jing-rong

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Study of image segmentation based on improved Hough transform

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- Study of image segmentation based on improved Hough transform
- Optics and Precision Engineering Vol. 10, Issue 3, Pages: 257-260(2002)
- 作者机构：
  
  华南理工大学, 机电工程系光机电一体化研究所,广东广州,510640
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Received：18 May 2001，
  
  Revised：11 April 2002，
  
  Published Online：15 June 2002，
  
  Published：15 June 2002
- 稿件说明：
移动端阅览
刘桂雄, 申柏华, 冯云庆, 胡存银, 易静蓉. 基于改进的Hough变换图像分割方法[J]. 光学精密工程, 2002,(3): 257-260

LIU Gui-xiong, SHEN Bai-hua, FENG Yun-qing, HU Cun-yin, YI Jing-rong. Study of image segmentation based on improved Hough transform[J]. Editorial Office of Optics and Precision Engineering, 2002,(3): 257-260
刘桂雄, 申柏华, 冯云庆, 胡存银, 易静蓉. 基于改进的Hough变换图像分割方法[J]. 光学精密工程, 2002,(3): 257-260 DOI：

LIU Gui-xiong, SHEN Bai-hua, FENG Yun-qing, HU Cun-yin, YI Jing-rong. Study of image segmentation based on improved Hough transform[J]. Editorial Office of Optics and Precision Engineering, 2002,(3): 257-260 DOI：

摘要

在图像处理和计算机视觉中

Hough变换是一种应用非常广泛的图像边缘检测技术

针对传统Hough变换算法所需的存储容量大、计算量大、速度慢、效率低

不能确定曲线端点及长度的问题

提出了一种改进的Hough变换方法

它根据Hough变换思想的逆变换

采用对参数空间逐步细分的方法

逐步排除不包含直线的区域

能够有效地减少存储容量

提高运行效率

并能有效地求出曲线轮廓的端点及长度.该方法已成功运用于车牌自动识别系统的车牌分割中.

Abstract

Hough transform has been widely used in pattern recognition and computer vision since its discovery

but it cannot detect the endpoints and length of a curve. Furthermore

high memory space is required in traditional Hough transform. In this paper

an improved Hough transform algorithm is proposed. According to the inverse transform of HT

it subdivides image space little by little and excludes the area without lines. With this algorithm

the memory space required is reduced

and high efficiency is available

besides the endpoint and length of a curve can be detected. It has been applied to the vehicle license plate recognition (LPR) system successfully.

关键词

Keywords

references

Lingworth J, Kittler J. A survey of the Hough transform[J]. CVGIP,1988,44: 87～116.

章毓晋. 图像处理和分析[M]. 北京:清华大学出版社,1999.

郭强,陈桂林,童卫旗. 基于变换域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.

成丹烈. 利用Hough变换在序列图像中检测多个运动点目标[J]. 光学精密工程,1996,4 (5):100-104.

王绍霖,付永生. Hough变换边缘提取算法[J]. 同济大学学报,1996,(2): 471～474.

袁捷,胡正仪,王延平. 用Hough变换的方法提取图像拐点[J]. 武汉大学学报,1998,(2):85～88.

程洪玮,孙仲康. 利用Hough变换实现目标检测与航迹启动[J]. 国防科技大学学报,1998,20(4):53～58.

Foresti G, Murino V, Regazzoni C S, et al. Gruoping of rectilinear segments by the labeled Hough transform[J]. CVGIP,1996,58(3),22～42.

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Related Institution

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College of Precision Instruments and Optoelectronic Engineering, Tianjin University, Tianjin 300072, China

ICT Research Center， Key Laboratory of Optoelectronic Technology and Systems of Ministry of Education， Chongqing University

College of Optoelectronic Engineering， Chongqing University

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