THRESHOLDING USING AN ILLUMINATION MODEL

Parker, J.R.; Jennings, C.; Salkauskas, A.G.

THRESHOLDING USING AN ILLUMINATION MODEL

dc.contributor.author	Parker, J.R.	eng
dc.contributor.author	Jennings, C.	eng
dc.contributor.author	Salkauskas, A.G.	eng
dc.date.accessioned	2008-05-08T18:41:06Z
dc.date.available	2008-05-08T18:41:06Z
dc.date.computerscience	1999-05-27	eng
dc.date.issued	1993-02-01	eng
dc.description.abstract	Most grey level thresholding methods produce 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. If the object pixels can be identified in a variety of positions throughout the image, these can be used to construct a surface whose height is related to illumination at each pixel. This estimate can be used to produce a threshold for each pixel. The method described here uses the Shen-Castan edge detector to identify object pixels, and creates a surface using a moving least squares method that can be used to threshold the image.	eng
dc.description.notes	We 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.ca	eng
dc.identifier.department	1993-506-11	eng
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/30959
dc.identifier.uri	http://hdl.handle.net/1880/46426
dc.language.iso	Eng	eng
dc.publisher.corporate	University of Calgary	eng
dc.publisher.faculty	Science	eng
dc.subject	Computer Science	eng
dc.title	THRESHOLDING USING AN ILLUMINATION MODEL	eng
dc.type	unknown
thesis.degree.discipline	Computer Science	eng