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description Journal article public Jurnal Al-Azhar Indonesia Seri Sains dan Teknologi

Segmentasi Gigi pada Dental Panoramic Radiograph untuk Identifikasi Manusia

Latifah Ramadhana Murilmiani Effendhi, Ade Jamal, Solechoel Arifin, Teguh Widodo
Published 2019

Abstract

– Indonesia has a high level of vulnerability to natural disasters and accidents that result in mass casualties. There are many ways to identify victims, especially by using dental images. The teeth are part of the body that are more durable because of the solid and strong tooth structure. Identification using dental images can be done by comparing dental data that has been obtained from unknown victim dental examination (postmortem data) with dental data previously made (antemortem data). There are several stages in identifying victims using dental images and researcher worked on tooth segmentation stage. First, the image need to cropped up to get dimensions size of 1564×589 pixels and improved contrast using Histogram Equalization method. Then, tooth separation is performed using Integral Projection method which is equipped with the use of Spline Interpolation to draw the separator line between the upper-lower jaws and single tooth. Each image has a different n-block column value, so researcher selected range number of n-block column is between 3-30. In this reseach, dental panoramic radiographs are used. The smallest error rate in the images is found when performing an Integral Projection to separate upper and lower jaws by 56.8% with n-block column value = 8 and when separating each tooth from the image by 38.27% with average filter value = 17.Keywords – Antemortem, Postmortem, Segmentation, Histogram Equalization, Integral Projection, Spline Interpolation

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