Dental X-Ray Radiographs Enhancement by Combining Morphological Operator and Retinex Theory
O. Nomir (Egypt) and M. Abdel-Mottaleb (USA)
Keywords
Forensic dentistry, biometrics, Retinex, Antemortem dental radiographs, postmortem dental radiographs.
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.
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