A matching algorithm based on improved SIFT for the air mobility platform

Author

Yu Jun ; Cheng Peng ; Yin Xuefeng

Author_Institution

Naval Univ. of Eng., Wuhan, China

fYear

2013

fDate

23-25 May 2013

Firstpage

775

Lastpage

778

Abstract

The matching of the images, which obtained by the air mobility platform, containing a large amount of image information, requires better real-time performance. The SIFT descriptor vector will be improved in this paper. In addition, preliminary to the matching, the image segmentation will be done by using the Tsallis entropy method. The experimental results show that the proposed algorithm has greatly improved the efficiency without too much damage to the premise of the matching results, and better able to meet the real-time requirements of the processing to the images obtained by the air mobility platform.

Keywords

entropy; geophysical image processing; image matching; image segmentation; transforms; SIFT descriptor vector; Tsallis entropy method; air mobility platform; image information; image matching; image processing; image segmentation; improved SIFT; matching algorithm; real-time performance; scale invariant feature transform algorithm; Image recognition; Image segmentation; Land surface; Land vehicles; Navigation; Real-time systems; Robustness; SIFT; Tsallis entroy; air mobility platform; matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on

Conference_Location

Beijing

ISSN

2327-0586

Print_ISBN

978-1-4673-4997-0

Type

conf

DOI

10.1109/ICSESS.2013.6615420

Filename

6615420