Volume & Issue no: Volume 4, Issue 3, May - June 2015
____________________________________________________________________________________________________
Title: |
DIGITAL DENTAL X-RAY IMAGE SEGMENTATION AND FEATURE EXTRACTION USING EXPECTATION MAXIMIZATION TECHNIQUE |
Author Name: |
Hagar M. El Hadad, SohaSafwat Labib |
Abstract: |
Abstract
In the field of dental medicine science, one of the frequently
and oldest used techniques for detecting teeth periapical
lesions disease is X-Ray. It is important to analysis the dental
x-ray images to extract features of image. The process of
analysing X-Ray images is important to improve quantifies
medical imaging systems. In this paper we present a
technique for dental x-ray images segmentation and feature
extraction. The proposed technique has been implemented by
using expectation maximization (EM) technique for
segmentation after image enhancement and remove noise.
The extracted features techniques can use to obtain the teeth
measurements for automatic dental systems such as dental
diagnosis systems. The experimental result show the
importance of the proposed technique to extract teeth features
from an X-Ray image.
Keywords: Dental x-ray image, Teeth periapical lesions
disease segmentation, Feature extraction, and Expectation
Maximization (EM) technique. |
Cite this article: |
Hagar M. El Hadad, SohaSafwat Labib , "
DIGITAL DENTAL X-RAY IMAGE SEGMENTATION AND FEATURE EXTRACTION USING EXPECTATION MAXIMIZATION TECHNIQUE" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 3, May - June 2015 , pp.
154-157 , ISSN 2278-6856.
|
| Full Text [PDF] Back to Current Issue | |
NOTE: Authors note that paper cannot be withdrawn at any condition once it is accepted. The Team of IJETTCS advise you, do not submit same article to the multiple journals simultaneously. This may create a problem for you. Please wait for review report which will take maximum 01 to 02 week.