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
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;
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
DOI :
10.1109/CISP.2009.5301410
