基于特征域聚类下Radon变换的火车票图像方向检测算法研究

许亚杰; 韦海成; 肖明霞

doi:10.3788/YJYXS20183312.1033

您当前的位置：

首页 >

文章列表页 >

基于特征域聚类下Radon变换的火车票图像方向检测算法研究

图像处理 | 更新时间：2020-08-12

- 基于特征域聚类下Radon变换的火车票图像方向检测算法研究
- Direction detection algorithm of train ticket images based on Radon transform with feature area clustering
- 液晶与显示 2018年33卷第12期页码：1033-1039
- 作者机构：
  
  北方民族大学电气信息工程学院, 宁夏银川 750021
- 作者简介：
  
  [ "许亚杰(1991-), 女(汉族), 河南周口人, 硕士研究生, 主要研究方向:图像识别、机器视觉。E-mail:xu_yj1991@163.com" ]
  [ "韦海成(1974-), 男, 宁夏银川人, 博士, 副教授, 毕业于西安交通大学, 并获得工学博士学位, 主要研究方向:平板显示、数字图像处理。E-mail:wei_hc@sina.com" ]
- 基金信息：
  
  宁夏自然科学基金项目(NZ17104);宁夏双一流学科与科研项目(电子科学与技术 NXYLXK2017A07);国家自然科学基金项目(61461001);国家自然科学基金项目(61861001);北方民族大学智能感知及控制校级重点实验室;北方民族大学研究生创新项目(YCX18071);Supported by Natural Science Foundation of Ningxia(NZ17104);Ningxia First-class Discipline and Scientific Research Projects(Electronic Science and Technology NXYLXK2017A07);National Natural Science Foundation of China(61461001);National Natural Science Foundation of China(61861001);Key Laboratory of intelligent perception control in North Minzu University;Key Laboratory of intelligent perception control in North Minzu University; Research and Innovation of Postgraduates in North Minzu University(YCX18071)
- DOI：10.3788/YJYXS20183312.1033
  中图分类号： TP391
- 收稿日期：2018-06-07，
  
  录用日期：2018-9-3，
  
  纸质出版日期：2018-12
- 稿件说明：
移动端阅览
许亚杰, 韦海成, 肖明霞. 基于特征域聚类下Radon变换的火车票图像方向检测算法研究[J]. 液晶与显示, 2018,33(12):1033-1039.

Ya-jie XU, Hai-cheng WEI, Ming-xia XIAO. Direction detection algorithm of train ticket images based on Radon transform with feature area clustering[J]. Chinese journal of liquid crystals and displays, 2018, 33(12): 1033-1039.
许亚杰, 韦海成, 肖明霞. 基于特征域聚类下Radon变换的火车票图像方向检测算法研究[J]. 液晶与显示, 2018,33(12):1033-1039. DOI： 10.3788/YJYXS20183312.1033.

Ya-jie XU, Hai-cheng WEI, Ming-xia XIAO. Direction detection algorithm of train ticket images based on Radon transform with feature area clustering[J]. Chinese journal of liquid crystals and displays, 2018, 33(12): 1033-1039. DOI： 10.3788/YJYXS20183312.1033.

摘要

随着我国交通服务行业的发展，火车票票面信息的自动化识别已经成为提升铁路服务效率的重要手段，针对票面信息识别系统中获取火车票方向不一致的问题，本文提出了一种基于特征区域聚类下Radon变换的方向检测算法。首先，算法通过k均值聚类对火车票图像进行聚类分块，消除复杂背景的干扰，提取到火车票信息区域；然后，通过数字形态学闭运算结合图像块操作保留能够反映火车票位置信息的图像方向特征区域；最后，利用改进的Radon变换检测出火车票的倾斜角度。实验结果表明：该算法的矫正正确率为97.8%，矫正的时间为16.79 s；该算法能够消除图像复杂背景、方向特征区域领域像素点对方向检测的干扰，能够对全角度任意方向的火车票图像进行方向检测，具有较高的实用价值。

Abstract

With the development of transportation service industry in China

automatic identification of railway ticket information has become more important to improve the efficiency of railway service. In order to solve the problem of inconsistency in train ticket direction acquisition in ticket surface information recognition system

a direction detection algorithm is proposed in this paper which is based on Radon transform with feature area clustering. Firstly

the algorithm classifies train ticket images by K-means clustering

eliminates the interference of complex background and extracts the railway ticket information area. Then

the image direction feature area which can reflect the train ticket position information is preserved through digital morphology closed operation combined with image block operation. Finally

the tilted angle of train ticket is detected by the improved Radon transform. The experimental results show that the correction accuracy of the algorithm is 97.8%

and the correction time is 16.79 s. By the algorithm

it can eliminate the interference of the image complex background and neighborhood pixels of direction feature area to the direction detection

and detect the direction of train ticket image in any direction with full angles

which are of high practical value.

关键词

Keywords

references

宋建中.图像处理智能化的发展趋势[J].中国光学, 2011, 4(5):431-440.

SONG J Z. Development trend of image processing intelligence[J]. Chinese Optics, 2011, 4(5):431-440. (in Chinese)

吴丽丽, 余春艳.基于Sobel算子和Radon变换的车牌倾斜校正方法[J].计算机应用, 2013, 33(S1):220-222.

WU L L, YU C Y. Tilt correction method of license plate based on Sobel operator and Radon transform[J]. Journal of Computer Applications, 2013, 33(S1):220-222. (in Chinese)

余明扬, 朱齐果, 王一军.基于Canny算子和Radon变换的轨道图像校正方法[J].计算机应用, 2017, 37(S2):92-94, 133.

YU M Y, ZHU Q G, WANG Y J. Correction method of track image based on Canny operator and Radon transform[J]. Journal of Computer Applications, 2017, 37(S2):92-94, 133. (in Chinese)

蒋超, 牛宏侠.基于改进Radon变换的直线钢轨识别算法[J].铁道标准设计, 2017, 61(4):19-22.

JIANG C, NIU H X. Linear rail recognition algorithm based on improved radon transform[J]. Railway Standard Design, 2017, 61(4):19-22. (in Chinese)

魏武, 王俊杰, 蔡钊雄.基于小波和Radon变换的桥梁裂缝检测[J].计算机工程与设计, 2013, 34(9):3151-3157.

WEI W, WANG J J, CAI Z X. Bridge crack detection based on wavelet and Radon transform[J]. Computer Engineering and Design, 2013, 34(9):3151-3157. (in Chinese)

加春燕, 崔丽.基于频谱边缘检测和Radon变换估计运动模糊图像的方向[J].图学学报, 2016, 37(3):434-438.

JIA C Y, CUI L. Direction estimation of motion blurred images based on edge detection of spectrum and radon transform[J]. Journal of Graphics, 2016, 37(3):434-438. (in Chinese)

侯和平, 郭凯铭, 刘凯, 等.基于Radon变换与灰度投影积分极值方法的矩形检测[J].西安理工大学学报, 2014, 30(2):133-138.

HOU H P, GUO K M, LIU K, et al. Rectangle detection based on Radon transform and gray projection integral extreme value method[J]. Journal of Xi'an University of Technology, 2014, 30(2):133-138. (in Chinese)

王爱莲, 伍伟丽, 陈俊杰.基于K-means聚类算法的图像分割方法比较及改进[J].太原理工大学学报, 2014, 45(3):372-375.

LI A L, WU W L, CHEN J J. Comparison and improvement of image segmentation based on K-means[J]. Journal of Taiyuan University of Technology, 2014, 45(3):372-375. (in Chinese)

赵文昌, 李忠木.融合改进人工蜂群和K均值聚类的图像分割[J].液晶与显示, 2017, 32(9):726-735.

ZHAO W C, LI Z M. Image segmentation algorithm based on improved artificial bee colony and K-mean clustering[J]. Chinese Journal of Liquid Crystals and Displays, 2017, 32(9):726-735. (in Chinese)

ŽALIK K R. An efficient k '-means clustering algorithm[J]. Pattern Recognition Letters, 2008, 29(9):1385-1391. (请核对文献类型)

王丽.融合底层和中层字典特征的行人重识别[J].中国光学, 2016, 9(5):540-546.

WANG L. Pedestrian re-identification based on fusing low-level and mid-level features[J]. Chinese Optics, 2016, 9(5):540-546. (in Chinese)

CARLSON B D, EVANS E D, WILSON S L. Errata:search radar detection and track with the Hough transform[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(1):382-383.

刘新亮, 李星野.基于Radon变换的多尺度虹膜特征提取算法[J].光电子·激光, 2008, 19(4):532-536.

LIU X L, LI X Y. A multi-scale iris feature extraction algorithm based on radon transform[J]. Journal of Optoelectronics·Laser, 2008, 19(4):532-536. (in Chinese)

马婧, 徐守时, 陈克.基于Radon变换的图像角点角度提取算法[J].光电工程, 2009, 36(2):126-131.

MA J, XU S S, CHEN K. Method of angles picked-up of corners in images based on radon transform[J]. Opto-Electronic Engineering, 2009, 36(2):126-131. (in Chinese)

贤光, 颜昌翔, 张新洁.运动模糊图像点扩散函数的频谱估计法[J].液晶与显示, 2014, 29(5):751-755.

XIAN G, YAN C X, ZHANG X J. Motion-blurred image point spread function estimation method based on spectral analysis[J]. Chinese Journal of Liquid Crystals and Displays, 2014, 29(5):751-755. (in Chinese)

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

运动模糊图像点扩散函数的频谱估计法