Segmentation of dental X-ray images in medical imaging using neutrosophic orthogonal matrices

Ali, Mumtaz and Son, Le Hoang and Khan, Mohsin and Tung, Nguyen Thanh (2017) Segmentation of dental X-ray images in medical imaging using neutrosophic orthogonal matrices. Expert Systems With Applications, 91. pp. 434-441. ISSN 0957-4174

Abstract

Over the last few decades, the advance of new technologies in computer equipment, cameras and medical devices became a starting point for the shape of medical imaging systems. Since then, many new medical devices, e.g. the X-Ray machines, computed tomography scans, magnetic resonance imaging, etc., accompanied with operational algorithms inside has contributed greatly to successful diagnose of clini- cal cases. Enhancing the accuracy of segmentation, which plays an important role in the recognition of disease patterns, has been the focus of various researches in recent years. Segmentation using advanced fuzzy clustering to handle the problems of common boundaries between clusters would tackle many challenges in medical imaging. In this paper, we propose a new fuzzy clustering algorithm based on the neutrosophic orthogonal matrices for segmentation of dental X-Ray images. This algorithm transforms image data into a neutrosophic set and computes the inner products of the cutting matrix of input. Pixels are then segmented by the orthogonal principle to form clusters. The experimental validation on real dental data sets of Hanoi Medical University Hospital, Vietnam showed the superiority of the proposed method against the relevant ones in terms of clustering quality.


Statistics for USQ ePrint 33186
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Available online from 12/09/2017. Access to published version in accordance with publisher's copyright policy.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 24 Jan 2018 05:40
Last Modified: 24 Jan 2018 05:40
Uncontrolled Keywords: dental X-ray image, fuzzy clustering, neutrosophic orthogonal matrices, medical diagnosis
Fields of Research : 01 Mathematical Sciences > 0102 Applied Mathematics > 010206 Operations Research
01 Mathematical Sciences > 0102 Applied Mathematics > 010202 Biological Mathematics
11 Medical and Health Sciences > 1105 Dentistry > 110501 Dental Materials and Equipment
01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010303 Optimisation
Socio-Economic Objective: C Society > 92 Health > 9204 Public Health (excl. Specific Population Health) > 920402 Dental Health
C Society > 92 Health > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920118 Surgical Methods and Procedures
C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified
Identification Number or DOI: 10.1016/j.eswa.2017.09.027
URI: http://eprints.usq.edu.au/id/eprint/33186

Actions (login required)

View Item Archive Repository Staff Only