GREY LEVEL THRESHOLDING IN BADLY ILLUMINATED IMAGES

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dc.contributor.authorParker, J.R.eng
dc.date.accessioned2008-05-08T18:40:49Z
dc.date.available2008-05-08T18:40:49Z
dc.date.computerscience1999-05-27eng
dc.date.issued1990-06-01eng
dc.description.abstractMost grey level thresholding methods produce very good results in situations where the illumination gradient in the original raster image is regular and not too large. In other cases, such as a large linear change in illumination, a satisfactory bi-level image cannot be produced. One approach is to locate object pixels first, and then grow regions around these, generating a threshold value for each pixel.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1990-398-22eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30943
dc.identifier.urihttp://hdl.handle.net/1880/46420
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleGREY LEVEL THRESHOLDING IN BADLY ILLUMINATED IMAGESeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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