Improved Algorithm Based on SIFT Infrared Image Stitching Algorithm
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

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

    To solve the problems of long registration time and many wrong registrations in using the infrared image stitching algorithm. This paper improves the infrared image stitching algorithm which based on SIFT algorithm. Firstly, the improved algorithm uses the Gaussian difference pyramid to establish the scale space. Secondly, this algorithm uses FAST algorithm to extract the feature points from the Gaussian pyramid difference images. In order to find the initial matching point pairs, the method of this paper calculates the feature vectors distance to measure the similarity of feature points. Thirdly, RANSAC algorithm and direction consistency method are used to remove the wrong matching point pairs. Finally, this algorithm uses weighted average method to mosaic images. The result of the infrared image mosaic experiments shows that the improved method is more stable and more rapid.

    Reference
    Related
    Cited by
Get Citation

陆园园,张明.基于SIFT算法的红外图像拼接方法改进.计算机系统应用,2015,24(8):165-170

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:December 09,2014
  • Revised:January 12,2015
  • Adopted:
  • Online: September 03,2015
  • 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