Indonesian Journal of Electrical Engineering and Computer Science
Vol 11, No 6: June 2013

Digital Dental X-Ray Image Segmentation and Feature Extraction

Abdolvahab Ehsani Rad (Universiti Teknologi Malaysia)
Mohd Shafry Mohd Rahim (Universiti Teknologi Malaysia)
Alireza Norouzi (Universiti Teknologi Malaysia)



Article Info

Publish Date
01 Jun 2013

Abstract

The process of analysis of such images is important in order to improve quantify medical imaging systems. It is significant to analysis the dental x-ray images we need features of image. In this paper we present a method for segmentation and feature extraction of dental x-ray images. The proposed method has been implemented by using level-set method for segmentation after image enhancement and illustrate contour for teeth to complete the segmentation step. Furthermore, we extracted multiple features of dental x-ray images using texture statistics techniques by gray-level co-occurrence matrix. Extracted data can perform to obtain the teeth measurements for automatic dental systems such human identification or dental diagnosis systems. Preparatory experiments show the significance of the proposed method to extract teeth from an x-ray image. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2655

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