SEPARATION OF OVERLAPPING OBJECT SEGMENTATION USING LEVEL SET WITH AUTOMATIC INITALIZATION ON DENTAL PANORAMIC RADIOGRAPH

Safri Adam, Safri Adam and Agus Zainal Arifin, Agus Zainal Arifin (2020) SEPARATION OF OVERLAPPING OBJECT SEGMENTATION USING LEVEL SET WITH AUTOMATIC INITALIZATION ON DENTAL PANORAMIC RADIOGRAPH. Jurnal Ilmu Komputer dan Informasi, 13 (1). pp. 25-36. ISSN e-ISSN 2502-9274

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Abstract

To extract features on dental objects, it is necessary to segment the teeth. Segmentation is separating
between the teeth (objects) with another part than teeth (background). The process of segmenting
individual teeth has done a lot of the recently research and obtained good results. However, when faced
with overlapping teeth, this is quite challenging. Overlapping tooth segmentation using the latest
algorithm produces an object that should be segmented into two objects, instantly becoming one object.
This is due to the overlapping between two teeth. To separate overlapping teeth, it is necessary to extract
the overlapping object first. Level set method is widely used to segment overlap objects, but it has a
limitation that needs to define the initial level set method manually by the user. In this study, an
automatic initialization strategy is proposed for the level set method to segment overlapping teeth using
hierarchical cluster analysis on dental panoramic radiographs images. The proposed strategy was able
to initialize overlapping objects properly with accuracy of 73%. Evaluation to measure quality of
segmentation result are using misscassification error (ME) and relative foreground area error (RAE).
ME and RAE were calculated based on the average results of individual tooth segmentation and obtain
16.41% and 52.14%, respectively. This proposed strategy are expected to be able to help separate the
overlapping teeth for human age estimation through dental images in forensic odontology.

Item Type:	Article
Uncontrolled Keywords:	Overlapping, Dental Panoramic Radiograph, Automatic Initialization, Level Set
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Ni Made Yunia Dwi Savitri
Date Deposited:	18 Nov 2022 07:27
Last Modified:	18 Nov 2022 07:27
URI:	http://eprints.triatmamulya.ac.id/id/eprint/1906

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