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 2013-07-16T13:17:34Z
dc.date.available 2013-07-16T13:17:34Z
dc.date.issued 2012-11
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_US
dc.description.librarian am2013 en_US
dc.description.sponsorship Thanks to the Department of Statistics and Statomet for support and funding. 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/2263/21974
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_US
dc.title An overview of image segmentation techniques en_US
dc.type Article en_US


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