Tooth segmentation using dynamic programming-gradient inverse coefficient of variation

Anuar Mikdad Muad, Nur Sakinah Mohamed Bahaman, Aini Hussain, Mohd Yusmiaidil Putera Mohd Yusof

Research output: Contribution to journalArticle

Abstract

Teeth provide meaningful clues of an individual. The growth of the teeth is correlated with the individual age. This correlation is widely used to estimate age of an individual in applications like conducting forensic odontology, immigration, and differentiating juveniles and adolescents. Current forensic dentistry largely depends on laborious investigation process that is performed manually and can be influenced by human factors like fatigue and inconsistency. Digital panoramic radiograph dental images allow noninvasive and automatic investigation to be performed. This paper presents analyses on third molar tooth segmentation for the population in Malaysia, ranging from persons age of 5 years old to 23 years old. Two segmentation techniques: gradient inverse coefficient of variation with dynamic programming (DP-GICOV) and Chan-Vese (CV) were employed and compared. Results demonstrated that the accuracy of DP-GICOV and CV were 95.3%, and 81.6%, respectively.

Original languageEnglish
Pages (from-to)253-260
Number of pages8
JournalBulletin of Electrical Engineering and Informatics
Volume8
Issue number1
DOIs
Publication statusPublished - 1 Mar 2019

Fingerprint

Dentistry
dynamic programming
Coefficient of variation
teeth
Human engineering
Dynamic programming
Dynamic Programming
Segmentation
Fatigue of materials
Gradient
gradients
coefficients
dentistry
Malaysia
Immigration
Human Factors
Inconsistency
Fatigue
Person
conduction

Keywords

  • Dental age estimation
  • Dental forensic
  • Digital panoramic radiograph dental images
  • Third molar tooth

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Information Systems
  • Instrumentation
  • Hardware and Architecture
  • Computer Networks and Communications
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

Tooth segmentation using dynamic programming-gradient inverse coefficient of variation. / Muad, Anuar Mikdad; Bahaman, Nur Sakinah Mohamed; Hussain, Aini; Yusof, Mohd Yusmiaidil Putera Mohd.

In: Bulletin of Electrical Engineering and Informatics, Vol. 8, No. 1, 01.03.2019, p. 253-260.

Research output: Contribution to journalArticle

Muad, Anuar Mikdad ; Bahaman, Nur Sakinah Mohamed ; Hussain, Aini ; Yusof, Mohd Yusmiaidil Putera Mohd. / Tooth segmentation using dynamic programming-gradient inverse coefficient of variation. In: Bulletin of Electrical Engineering and Informatics. 2019 ; Vol. 8, No. 1. pp. 253-260.
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