DocumentCode :
571624
Title :
A Reliable Scene Matching Approach Based on the Fusion Feature of Correlation Peak
Author :
Fu, Yanjun ; Dong, Shufu ; Sun, Kaifeng
Author_Institution :
Telecommun. Eng. Inst., Air Force Eng. Univ., Xian, China
Volume :
1
fYear :
2012
fDate :
26-27 Aug. 2012
Firstpage :
352
Lastpage :
354
Abstract :
In the scene matching system, difference between realtime image and reference image often makes the true matched point deviate from the maximum peak of correlation plane, which leads the conventional decision making method based on maximum peak("MPDM" for short)" to mismatch. Aiming at this problem, a new matching approach based on fusion feature of correlation peak is proposed in this paper. First, by analyzing the peak properties corresponding to the true matched point, fusion feature based on the relative height (RH) of peak, peak value ratio within 8-neighborhood of peak (NBR) and sharpness of peak (SP) is taken as matching criteria, then, by setting a proper threshold of indicating the permissible minimum difference among those chosen fusion features, the real-time images whose matching results are sensible to image alterations are discarded, which increase the credibility of matching result.
Keywords :
decision making; image fusion; image matching; 8-neighborhood of peak; MPDM; RH; SP; correlation peak; decision making method; fusion feature; image alterations; maximum peak; reference image; relative peak height; reliable scene matching approach; sharpness of peak; Artificial intelligence; Correlation; Decision making; Educational institutions; Navigation; Real time systems; Reliability; correlation plane; fusion feature; scene matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location :
Nanchang, Jiangxi
Print_ISBN :
978-1-4673-1902-7
Type :
conf
DOI :
10.1109/IHMSC.2012.94
Filename :
6305698
Link To Document :
بازگشت