DocumentCode
2083187
Title
A Fast Hausdorff Matching Algorithm between Infrared and Optical Image Using PBIL Strategies
Author
Wang, Guogang ; Liu, Yunpeng ; Shi, Zelin
Author_Institution
Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
4
Abstract
Aiming at the problem of low precision of traditional gray correlation matching and bad real-time feature of partial Hausdorff distance matching, a new image matching algorithm between Infrared and Optical Image based on Hausdorff distance and Population-based Increased Learning algorithm (PBIL) strategies is presented. Results of experiment show this algorithm is fast and has high accuracy in matching, and the convergence is very stable.
Keywords
image matching; infrared imaging; learning (artificial intelligence); optical images; Hausdorff matching; image matching; infrared imaging; optical imaging; partial Hausdorff distance matching; population-based increased learning; Automation; Convergence; Image matching; Image recognition; Infrared detectors; Infrared imaging; Optical imaging; Optical sensors; Power engineering and energy; Target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5301410
Filename
5301410
Link To Document