An adaptive thresholding method for segmenting dental X-ray images
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 pap...
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| Main Authors: | , , , , , |
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| Format: | Article |
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Universiti Teknikal Malaysia Melaka
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/76561/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040023409&partnerID=40&md5=8e3bab67ae35033bb2fa42f7df84b35a |
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| Summary: | 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. |
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