Fusion of night vision and thermal images

Download
Author
Neo, Tiong Tien
Date
2006-12Advisor
Fargues, Monique P.
Cooper, Alfred W.
Metadata
Show full item recordAbstract
Night vision and thermal images are extensively used in military operations, as they help in mission planning and executions tasks. Image fusion effectively combines information present in each type of image. This research explored two wavelet-based image fusion approaches for night vision and thermal images; namely wavelet transform fusion and region-based fusion. Morphological methods designed to improve the image segmentation step were considered to improve image contrast and a global image quality index was applied to investigate the information content improvement resulting form the fusion process. Finally, a MATLAB-based graphical user interface was designed to assist the user in evaluating the benefits of the fusion process. Results showed the selection process is able to narrow to the best fused image with a satisfactory accuracy.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Fusion of images from dissimilar sensor systems
Chow, Khin Choong (Monterey California. Naval Postgraduate School, 2004-12);Different sensors exploit different regions of the electromagnetic spectrum; therefore, a multi-sensor image fusion system can take full advantage of the complementary capabilities of individual sensors in the suit; to ... -
An adaptive method for the enhanced fusion of low-light visible and uncooled thermal infrared imagery
Scrofani, James William (Monterey, California. Naval Postgraduate School, 1997-06);Night vision sensors, such as image-intensifier (II) tubes in night vision goggles and forward looking infrared sensors (FLIR) are routinely used by U.S. naval personnel for night operations. The quality of imagery from ... -
Fusion of multiple sensor types in computer vision systems
Mayo, Donald R. (Monterey, California. Naval Postgraduate School, 2007-09);This research provides analysis of several approaches to the fusion of multiple dissimilar sensors to supplement simple color vision detection and recognition. Non-visible sensor systems can enhance computer vision systems. ...