Edge detection and features extraction for dental X-Ray
Joint Authors
Khidr, Saja Diya
Taqi, Ali Kamal
Karuk, Muayyad Sadiq
Source
Engineering and Technology Journal
Issue
Vol. 34, Issue 13A (31 Dec. 2016), pp.2420-2432, 13 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Recently, the dental X-Ray images have been used in different applications, particularly in the forensic field.
The researchers focuses on the separation of the underlying teeth individually to obtain their features.
These features can be utilized as a key solution for the identifications.
In this paper, an edge detection of the involved teeth is proposed using a three stages MATLAB algorithm based on different methods such as, CLAHE, Canny, Otsu's, and 8-Connectivity.
In addition, the proposed algorithm extracts the features of the investigated teeth as an exported file.
These features are Standard Deviation (STD), Euler number and Area which are extracted from the bite-wing images.
The stages of the proposed algorithm are image segmentation, classification and features extraction.
It is important to note that the missing teeth has been considered in case of appearance.
The missing teeth are assumed to be a separated objects.
This is to overtake the problem of missing teeth after registering the original ones in the stored database used for identifications.
The obtained results show the clear outperformance of the proposed algorithm in terms of edge detection and features’ extraction.
The missing teeth in an image are tested and the achieved results presents the detection and features of such teeth dramatically.
The proposed system is implemented and tested in the MATLAB software environment using a personal computer of a Core(TM) i7 processor and 6 GB RAM over a 64-Windows 10 operating system.
American Psychological Association (APA)
Karuk, Muayyad Sadiq& Khidr, Saja Diya& Taqi, Ali Kamal. 2016. Edge detection and features extraction for dental X-Ray. Engineering and Technology Journal،Vol. 34, no. 13A, pp.2420-2432.
https://search.emarefa.net/detail/BIM-760838
Modern Language Association (MLA)
Karuk, Muayyad Sadiq…[et al.]. Edge detection and features extraction for dental X-Ray. Engineering and Technology Journal Vol. 34, no. 13A (2016), pp.2420-2432.
https://search.emarefa.net/detail/BIM-760838
American Medical Association (AMA)
Karuk, Muayyad Sadiq& Khidr, Saja Diya& Taqi, Ali Kamal. Edge detection and features extraction for dental X-Ray. Engineering and Technology Journal. 2016. Vol. 34, no. 13A, pp.2420-2432.
https://search.emarefa.net/detail/BIM-760838
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 2432
Record ID
BIM-760838