Parallel Lines Adaptive Fitting in Image Measurement
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    For the parallel edge points fitting in image measurement, this paper combines with the least square method to classify parallel edge points fitting through clustering analysis algorithm to eliminate the noise in the edge points image. The traditional algorithm based on image characteristics dividing area artificially to fitting respectively is solved. The result achieves the purpose of automatic image processing by machine.

    Reference
    Related
    Cited by
Get Citation

蒋爱德.图像测量中平行线的自适应拟合.计算机系统应用,2014,23(6):175-178

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:October 07,2013
  • Revised:November 28,2013
  • Adopted:
  • Online: June 20,2014
  • Published:
Article QR Code
You are the firstVisitors
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