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dc.contributor.authorRafikha Aliana, A. Raof
dc.contributor.authorR. Badlishah, Ahmad, Prof. Madya Dr.
dc.contributor.authorMohd Yusoff, Mashor, Prof. Dr.
dc.contributor.authorSiti Suraiya, Mohd Noor, Dr.
dc.date.accessioned2012-10-05T02:57:04Z
dc.date.available2012-10-05T02:57:04Z
dc.date.issued2010-10-16
dc.identifier.isbn978-967-5760-03-7
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/21215
dc.descriptionInternational Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Arau, Perlis, Malaysia.en_US
dc.description.abstractZiehl-Neelsen stain method is one of the common techniques that are being used to diagnose the tuberculosis (TB) infection. However, due to the manual process of preparing the samples, the image of the slide may not appear consistent when viewed using a computer and hence it complicates the process of diagnosis. This study applies modified white balance technique to the image of the Ziehl-Neelsen slides that have been captured using digital camera. It has been tested to three different categories of images, namely dark, underexposed and normal images. The method shows a good performance in automatically correcting the white balance properties in the images and enhances the image quality.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the International Postgraduate Conference on Engineering (IPCE 2010)en_US
dc.subjectZiehl-Neelsen stainen_US
dc.subjectTuberculosis (TB) infectionen_US
dc.subjectZiehl-Neelsen sputum slideen_US
dc.subjectDigital image processingen_US
dc.titleImage enhancement using white balance technique in Ziehl-Neelsen sputum slide imagesen_US
dc.typeWorking Paperen_US
dc.publisher.departmentCentre for Graduate Studiesen_US
dc.contributor.urlrafikha@unimap.edu.myen_US
dc.contributor.urlbadli@unimap.edu.myen_US
dc.contributor.urlyusoff@unimap.edu.myen_US
dc.contributor.urlssuraiya@kck.usm.myen_US


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