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dc.contributor.authorAbdul Halim, Ismail
dc.contributor.authorMohammad Hamiruce, Marhaban
dc.date.accessioned2014-06-10T06:48:27Z
dc.date.available2014-06-10T06:48:27Z
dc.date.issued2009
dc.identifier.citationp. 162-166en_US
dc.identifier.isbn978-142445561-4
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?arnumber=5478623
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/35301
dc.descriptionProceeding of The International Conference on Signal and Image Processing Applications, (ICSIPA09 2009) at Kuala Lumpur, Malaysia on 18 November 2009 through19 November 2009. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jspen_US
dc.description.abstractImage thresholding is a powerful yet simple method to highlight the subject from its background in image scene analysis. Lots of methods have been proposed around the globe while some researchers regard this matter as a non-trivial problem. This paper proposes a simple approach for fast calculation of the threshold value for automatic image thresholding based on gradient analysis of the image histogram. The method manages to successfully differentiate the subject from the background. The proposed approach is validated by illustrative examples. Satisfactory results were acquired with other methods that use more complex algorithms.en_US
dc.language.isoenen_US
dc.publisherIEEE Conference Publicationsen_US
dc.relation.ispartofseriesProceeding of The International Conference on Signal and Image Processing Applications, (ICSIPA09 2009).;
dc.subjectAutomatic image thresholdingen_US
dc.subjectGradient analysisen_US
dc.subjectImage histogramen_US
dc.subjectIllustrative examplesen_US
dc.titleA simple approach to determine the best threshold value for automatic image thresholdingen_US
dc.typeWorking Paperen_US
dc.identifier.url10.1109/ICSIPA.2009.5478623
dc.contributor.urlihalim@unimap.edu.myen_US


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