Dental X-Ray radiographs enhancement by combining morphological operator and retinex theory

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

With the large volume of victims encountered in mass disasters, it has become important to automate forensic identification systems. Because of their survivability and diversity, the best candidates for postmortem biometric identification are the dental features. We introduced an identification system for identifying individuals based on their dental X-ray radiograph records. However, there are still some challenges to overcome. The dental X-ray radiographs sometimes suffer from the poor quality which badly affect the segmentation results, and consequently affect the overall identification system accuracy. The enhancement of the image quality is worth considering. In this research paper we present a technique for dental X-Ray radiographs enhancement by combining morphological operator and Retinex theory. The experimental results show that the technique is robust. We studied the performance of the segmentation module of our previously introduced system when applying our enhancement module prior to the segmentation step.

Original languageEnglish (US)
Title of host publicationProceedings of the 6th IASTED International Conference on Advances in Computer Science and Engineering, ACSE 2010
Pages202-204
Number of pages3
StatePublished - Dec 1 2010
Event6th IASTED International Conference on Advances in Computer Science and Engineering, ACSE 2010 - Sharm El Sheikh, Egypt
Duration: Mar 15 2010Mar 17 2010

Publication series

NameProceedings of the 6th IASTED International Conference on Advances in Computer Science and Engineering, ACSE 2010

Other

Other6th IASTED International Conference on Advances in Computer Science and Engineering, ACSE 2010
CountryEgypt
CitySharm El Sheikh
Period3/15/103/17/10

Keywords

  • Antemortem dental radiographs
  • Biometrics
  • Forensic dentistry
  • Postmortem dental radiographs
  • Retinex

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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