Extracting Algorithmic of Train Geometry Characteristic
CSTR:
Author:
  • Article
  • | |
  • Metrics
  • |
  • Reference [12]
  • |
  • Related [20]
  • | | |
  • Comments
    Abstract:

    Train settlement is an important reason for affecting the speed and safe operation of train, meanwhile the changing of train axle box acceleration caused by track irregularities can reflect the status information of track irregularity. Extracting the steady target characteristics of pathway can provide the matching point of orbit for subsequent SLAM algorithm. Through the analysis of components of the pathway, the steady target characteristic of pathway parts could be extracted. Image equalization, enhancing and filling in with hole is to be used to complete the rail and fasteners outline at the beginning of the recognition. Binary expansion and generating linear structure of 0 or 90 degree, horizontal and vertical closing-opening operation, generating elements in pairs is to be used to complete the rail and fasteners initial contour extraction. According to the experiments it will prove that the improved RHT on linear feature extraction can increase the speed of PC and reduce the memory space, which can reduce the Flash on the subsequent DSP hardware development. It has great theoretical significance in supporting for the whole project.

    Reference
    1王午生.铁路线路工程.上海:上海科学技术出版社,2000.
    2 Chi JN, Xu XH. Research on simultaneous localization and mapping of mobile robot. Robot, 2004, 26(1):92-96.
    3 Freeman H. Boundary Encoding and Processing. BS Lipkin, A Rosenfeld. Picture Processingand Psychopictorics, Academic, New York, 1970, 12(6):241-266.
    4 Donoho DL, Huo XM. Beamlets and multiscale image analysis. Springer Lecture Notes in Computer Science and Enginering:Multiresolution Methods, 2000.
    5 Hough PVC. A Method and Means For Recognizing Complex Patterns. USA, 069654. 1962, 23(6):7-21.
    6 Leica GeoSystems. ADS40 Technical Reference Manual. Switzerland:Leica Geosyetems, 2007.
    7 张强,王正林.精通MATLAB图像处理.北京:电子工业出版社,2011.
    8王慧锋,战桂礼,罗晓明.基于数学形态学的边缘检测算法研究及应用.计算机工程与应用,2009,45(9):223-226.
    9 Canny J. A computational approachto edge detection. IEEE-PAMI, 1986, 8(12):679-698.
    10 孙继龙.基于模糊理论的图像边缘检测技术研究与实现[硕士学位论文].上海:华东师范大学,2009.
    11 黄剑玲,郑雪梅.一种改进的基于Canny算子的图像边缘提取算法.计算机工程与应用,2008,44(25):170-172.
    12 Sonka M, et al. 图像处理、分析与机器视觉.第3版.北京:清华大学出版社,2011.
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

王昆,郑树彬.新的轨道特征提取算法.计算机系统应用,2016,25(2):162-166

Copy
Share
Article Metrics
  • Abstract:1215
  • PDF: 2283
  • HTML: 0
  • Cited by: 0
History
  • Received:May 26,2015
  • Revised:July 14,2015
  • Online: February 23,2016
Article QR Code
You are the first990528Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063