Axiomatic Imaging Theory - Formulate with Fairness & Fun

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dc.contributorVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciencesen
dc.contributor.authorWang, Geen
dc.contributor.departmentSchool of Biomedical Engineering and Sciencesen
dc.date.accessed2014-11-26en
dc.date.accessioned2015-10-06T15:29:57Zen
dc.date.available2015-10-06T15:29:57Zen
dc.date.issued2008-06-17en
dc.description.abstractThere are many imaging systems. Their performance characterization is important for all applications. Various definitions are introduced for quantification of image resolution, which is the ability of an imaging system to separate two localized signals. In the nonnegative space, we postulated a set of axioms that a good image resolution measure should satisfy, obtained such an image resolution measure, applied our finding in comparing medical CT scanners, and won a 2004 Herbert M. Stauffer Award. We believe that imaging theory can be unified using the axiomatic approach.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWang, G. (2008). Axiomatic Imaging Theory - Formulate with Fairness & Fun. Poster. Retrieved from http://www.imaging.sbes.vt.edu/posters/Axiomatic%20Imaging%20Theory.pdfen
dc.identifier.urihttp://hdl.handle.net/10919/56709en
dc.identifier.urlhttp://www.imaging.sbes.vt.edu/posters/Axiomatic%20Imaging%20Theory.pdfen
dc.language.isoen_USen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectAxiomsen
dc.subjectCT scanningen
dc.subjectImagingen
dc.titleAxiomatic Imaging Theory - Formulate with Fairness & Funen
dc.typePosteren
dc.type.dcmitypeTexten

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