Publication: An adaptive thresholding method for segmenting dental X-ray images
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Teknikal Malaysia Melaka
Abstract
Thresholding 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.
Description
Keywords
Age estimation, Image segmentation, Image thresholding
Citation
Mohamed 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/1583