GREY LEVEL THRESHOLDING IN BADLY ILLUMINATED IMAGES

dc.contributor.author	Parker, J.R.	eng
dc.date.accessioned	2008-05-08T18:40:49Z
dc.date.available	2008-05-08T18:40:49Z
dc.date.computerscience	1999-05-27	eng
dc.date.issued	1990-06-01	eng
dc.description.abstract	Most 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.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	1990-398-22	eng
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/30943
dc.identifier.uri	http://hdl.handle.net/1880/46420
dc.language.iso	Eng	eng
dc.publisher.corporate	University of Calgary	eng
dc.publisher.faculty	Science	eng
dc.subject	Computer Science	eng
dc.title	GREY LEVEL THRESHOLDING IN BADLY ILLUMINATED IMAGES	eng
dc.type	unknown
thesis.degree.discipline	Computer Science	eng