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Local decomposition of gray-scale morphological templates

dc.contributor.authorTakriti, Sameren_US
dc.contributor.authorGader, Paul D.en_US
dc.date.accessioned2006-09-11T18:00:23Z
dc.date.available2006-09-11T18:00:23Z
dc.date.issued1992-10en_US
dc.identifier.citationTakriti, Samer; Gader, Paul D.; (1992). "Local decomposition of gray-scale morphological templates." Journal of Mathematical Imaging and Vision 2(1): 39-50. <http://hdl.handle.net/2027.42/46623>en_US
dc.identifier.issn0924-9907en_US
dc.identifier.issn1573-7683en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/46623
dc.description.abstractTemplate decomposition techniques can be useful for improving the efficiency of imageprocessing algorithms. The improved efficiency can be realized either by reorganizing a computation to fit a specialized structure, such as an image-processing pipeline, or by reducing the number of operations used. In this paper two techniques are described for decomposing templates into sequences of 3×3 templates with respect to gray-scale morphological operations. Both techniques use linear programming and are guaranteed to find a decomposition of one exists.en_US
dc.format.extent818876 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherComputer Scienceen_US
dc.subject.otherArtificial Intelligence (Incl. Robotics)en_US
dc.subject.otherComputer Imaging, Graphics and Computer Visionen_US
dc.subject.otherImage Processingen_US
dc.subject.otherAutomation and Roboticsen_US
dc.subject.otherImage Processingen_US
dc.subject.otherLinear Programmingen_US
dc.subject.otherMathematical Morphologyen_US
dc.subject.otherImage Algebraen_US
dc.subject.otherTemplate Decompositionen_US
dc.titleLocal decomposition of gray-scale morphological templatesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, 48109-2117, Ann Arbor, MIen_US
dc.contributor.affiliationotherEnvironmental Research Institute of Michigan, 48107-8618, Ann Arbor, MIen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/46623/1/10851_2004_Article_BF00123880.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00123880en_US
dc.identifier.sourceJournal of Mathematical Imaging and Visionen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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