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An adaptive thresholding method for segmenting dental X-ray images

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dc.FundingDetailsMinistry of Higher Education, Malaysia,�MOHE
dc.FundingDetailsThe author would like to thank the Ministry of Education for the research sponsorship funds under grant no. USIM/FRGS/FST/32/51513 and the Faculty of Dentistry, Universiti Sains Islam Malaysia for the X-ray images.
dc.contributor.affiliationsFaculty of Dentistry
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsPenang Skills Development Centre
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsUniversiti Teknologi Malaysia (UTM)
dc.contributor.authorRazali M.R.M.en_US
dc.contributor.authorIsmail W.en_US
dc.contributor.authorAhmad N.S.en_US
dc.contributor.authorBahari M.en_US
dc.contributor.authorZaki Z.M.en_US
dc.contributor.authorRadman A.en_US
dc.date.accessioned2024-05-28T08:24:28Z
dc.date.available2024-05-28T08:24:28Z
dc.date.issued2017
dc.description.abstractThresholding is a way of segmenting an image into foreground and background according to a fixed constant value called a threshold. Image segmentation based on a constant threshold leads to unsatisfactory results with dental X-ray images due to the uneven distribution of pixel intensity. In this paper, an adaptive thresholding method is proposed to attain promising segmentation results for dental X-ray images. The Mean, Median, Midgrey, Niblack, and OTSU thresholding methods are utilized to delineate the acceptable range of threshold values to be applied for segmenting X-ray images. Experimental results showed that the Median method provides consistency in achieving the best range of threshold values which is between 57 and 86 in greyscale.en_US
dc.description.natureFinalen_US
dc.identifier.citationMohamed Razali, M. R., Ismail, W., Ahmad, N. S., Bahari, M., Mohd Zaki, Z., & Radman, A. (2017). An Adaptive Thresholding Method for Segmenting Dental X-Ray Images. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(4), 1–5. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1583en_US
dc.identifier.epage5
dc.identifier.issn21801843
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85040023409
dc.identifier.spage1
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85040023409&partnerID=40&md5=8e3bab67ae35033bb2fa42f7df84b35a
dc.identifier.urihttps://jtec.utem.edu.my/jtec/article/view/1583
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/8493
dc.identifier.volume9
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherUniversiti Teknikal Malaysia Melakaen_US
dc.relation.ispartofJournal of Telecommunication, Electronic and Computer Engineeringen_US
dc.sourceScopus
dc.subjectAge estimationen_US
dc.subjectImage segmentationen_US
dc.subjectImage thresholdingen_US
dc.titleAn adaptive thresholding method for segmenting dental X-ray imagesen_US
dc.typeArticleen_US
dspace.entity.typePublication

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