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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.accessioned2012-10-05T02:48:40Z
dc.date.available2012-10-05T02:48:40Z
dc.date.issued2010-10-16
dc.identifier.isbn978-967-5760-03-7
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/21214
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.abstractImage filtering is an important approach in the area of digital image processing for noise reduction. The time cost and output image quality in the filtering system are two convention measures in selecting the appropriate filtering algorithm. In this paper, a modified median filter algorithm is presented for noise reduction in Ziehl-Neelsen sputum slide images that are corrupted by impulse or salt and pepper noise. It has been tested on samples of images and the results are compared with the output produced using original median filter algorithm. The proposed method shows a good performance in filtering the noise in the image while reducing the processing time for computational purposes.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.subjectImage filteringen_US
dc.subjectDigital image processingen_US
dc.subjectNoise reductionen_US
dc.subjectZiehl-Neelsen sputum slide imagesen_US
dc.titleModified median filter for noise reduction 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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