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dc.contributor.advisorFargues, Monique P.
dc.contributor.advisorCooper, Alfred W.
dc.contributor.authorNeo, Tiong Tien
dc.date.accessioned2012-03-14T17:35:21Z
dc.date.available2012-03-14T17:35:21Z
dc.date.issued2006-12
dc.identifier.urihttp://hdl.handle.net/10945/2489
dc.description.abstractNight 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.en_US
dc.description.urihttp://archive.org/details/fusionofnightvis109452489
dc.format.extentxiv, 117 p. : ill. (some col.) ;en_US
dc.publisherMonterey California. Naval Postgraduate Schoolen_US
dc.subject.lcshElectronicsen_US
dc.titleFusion of night vision and thermal imagesen_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School (U.S.).
dc.contributor.departmentDepartment of Physics
dc.identifier.oclc80765519
etd.thesisdegree.nameM.S.en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineCombat Systems Science and Technologyen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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