Title :
Image fusion with multiband linear arrays
Author :
Michelizzi, Michael ; Cox, Kevin
Author_Institution :
US Naval Res. Lab., Washington, DC
Abstract :
Combining information from multiple spectral bands to describe a scene in which objects will be tracked can aid a well designed algorithm in differentiating between interesting and unimportant objects. This will lead to a more effective automated tracking system. Successful image fusion requires accurate imagery and good image registration. While offering certain advantages, using linear arrays also introduces new challenges. This paper will discuss the design of a system that combines a dual band infrared (IR) imager with a visible imager to feed a robust tracker with an intuitive user interface.
Keywords :
image fusion; image registration; image sensors; infrared imaging; sensor arrays; user interfaces; automated tracking system; dual band infrared imager; image fusion; image registration; intuitive user interface; multiband linear arrays; Biomedical imaging; Density functional theory; Detectors; Image fusion; Magnetic resonance imaging; Probability density function; Random variables; Stem cells; Tail; Testing;
Conference_Titel :
Applied Imagery Pattern Recognition Workshop, 2008. AIPR '08. 37th IEEE
Conference_Location :
Washington DC
Print_ISBN :
978-1-4244-3125-0
Electronic_ISBN :
1550-5219
DOI :
10.1109/AIPR.2008.4906454