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dc.contributor.authorIrie, Kenjien
dc.contributor.authorMcKinnon, Alan E.en
dc.contributor.authorUnsworth, Keithen
dc.contributor.authorWoodhead, Ianen
dc.date.accessioned2010-06-11T04:41:44Z
dc.date.issued2008-11en
dc.identifier.citationIrie, K., McKinnon, A. E., Unsworth, K., & Woodhead, I. M. (2008). An investigation into noise-bound shadow detection and removal. In K. Irie & D. Pairman (Eds.), 2008 23rd International Conference Image and Vision Computing New Zealand: IVCNZ, Christchurch, New Zealand, 26-28 November 2008. Piscataway, NJ: IEEE.en
dc.identifier.isbn978-1-4244-3780-1en
dc.identifier.urihttps://hdl.handle.net/10182/2047
dc.description.abstractNoise is an unavoidable contaminant in any non-trivial image. It is usually identified as a limiting factor in the performance of shadow-removal algorithms, but little is done to reduce its negative impact. The typical method to counter noise effects is to employ arbitrary or empirical thresholds somewhere inside the algorithm, with values chosen to maximize the shadow-removal performance. However these thresholds can be objectively calculated from the noise statistics for a particular pixel value. We present a method of shadow-removal whose internal parameters are adaptively set by noise statistics such that the algorithm is free of any empirically set threshold. Experiments indicate that the performance of the new method is approximately equivalent to that with an empirically-fixed threshold, though an area of improvement has been identified that could significantly boost the accuracy of the new method.en
dc.format.extent1-6en
dc.language.isoenen
dc.publisherIEEEen
dc.relationThe original publication is available from - IEEE - http://hdl.handle.net/10182/2047en
dc.rights© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.source23rd International Conference: Image and Vision Computing NZen
dc.subjectimage analysisen
dc.subjectnoise effectsen
dc.subjectnoiseen
dc.subjectshadow removalen
dc.subjectimage denoisingen
dc.titleAn investigation into noise-bound shadow detection and removalen
dc.typeConference Contribution - Published
lu.contributor.unitLincoln Universityen
lu.contributor.unitFaculty of Environment, Society and Designen
lu.contributor.unitDepartment of Environmental Managementen
lu.contributor.unitLincoln Agritechen
dc.subject.anzsrc1902 Film, Television and Digital Mediaen
dc.subject.anzsrc0802 Computation Theory and Mathematicsen
dc.subject.anzsrc0803 Computer Softwareen
pubs.finish-date2008-11-28en
pubs.organisational-group/LU
pubs.organisational-group/LU/Faculty of Environment, Society and Design
pubs.organisational-group/LU/Faculty of Environment, Society and Design/DEM
pubs.organisational-group/LU/Lincoln Agritech
pubs.organisational-group/LU/Research Management Office
pubs.organisational-group/LU/Research Management Office/QE18
pubs.publication-statusPublisheden
pubs.publisher-urlhttp://hdl.handle.net/10182/2047en
pubs.start-date2008-11-26en
dc.publisher.placeChristchurch, New Zealanden
lu.identifier.orcid0000-0002-0282-9811
lu.subtypeConference Paperen


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