Razali, M. R. M. and Ismail, W. and Ahmad, N. S. and Bahari, M. and Zaki, Z. M. and Radman, A. (2017) An adaptive thresholding method for segmenting dental X-ray images. Journal of Telecommunication, Electronic and Computer Engineering, 9 (4). pp. 1-5. ISSN 2180-1843
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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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Image segmentation, Image thresholding |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computing |
| ID Code: | 76561 |
| Deposited By: | Fazli Masari |
| Deposited On: | 30 Apr 2018 13:32 |
| Last Modified: | 30 Apr 2018 13:32 |
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