An overview of image segmentation techniques

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dc.contributor.author Fabris-Rotelli, Inger Nicolette
dc.contributor.author Greeff, J.F.
dc.date.accessioned 2013-07-16T11:41:03Z
dc.date.available 2013-07-16T11:41:03Z
dc.date.issued 2012
dc.description.abstract We present an overview of some image segmentation techniques, employed to extract regions of interest. Examples, with comparisons, are presented for Iterative Selection, Balanced Histogram, Otsu’s method, Wellner algorithm, Integral Image algorithm, Gaussian mixtures and Iterated Conditional Modes. en
dc.description.librarian am2013 en_US
dc.description.sponsorship The Department of Statistics and Statomet en_US
dc.description.uri http://www.sastat.org.za/journal.htm en_US
dc.identifier.citation Fabris-Rotelli, IN & Greeff, J-F 2012, 'An overview of image segmentation techniques', South African Statistical Journal, no. sp 1, pp. 34-41. en_US
dc.identifier.issn 0038-271X
dc.identifier.uri http://hdl.handle.net/2263/21969
dc.language.iso en en_US
dc.publisher South African Statistical Association en_US
dc.rights South African Statistical Association en_US
dc.subject Image segmentation techniques en
dc.subject.lcsh Image processing en
dc.subject.lcsh Image processing -- Digital techniques en
dc.title An overview of image segmentation techniques en
dc.type Article en


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