Medical Image Segmentation Using Novel Hybrid Technique
Authors
Mr. Abdulfattah Aboaba, University of Maiduguri, Maiduguri, Borno State, Nigeria Prof. Shihab A. Hameed, International Islamic University Malaysia, Kuala Lumpur, Malaysia Prof. Othman Khalifa, International Islamic University Malaysia, Kuala Lumpur, Malaysia , , ,
Abstract
Accurate segmentation of weak-edge images like most medical images has been a challenging issue for the purpose of image analysis and understanding in general, and surgical intervention involving image guided surgery (IGS) in particular. Thus, in this paper, a novel hybrid segmentation technique for medical images is presented. It employs hybrid of multiple-thresholding and correlation matching. The results obtained showed 96.6 percent accuracy when compared with “ground truthâ€, and based on the level of accuracy, the segmentation technique can be applied to weak-edge images in general.
1st Mosharaka International Conference on Digital Signal Processing (MIC-Signals 2014)
Congress
2014 Global Congress on Digital Signal Processing (GC-Signals 2014), 3-5 October 2014, Dubai, UAE
Pages
--1
Topics
Image Ontology Computer-Aided Diagnosis
ISSN
2227-331X
DOI
BibTeX
@inproceedings{928Signals2014,
title={Medical Image Segmentation Using Novel Hybrid Technique},
author={Abdulfattah Aboaba, and Shihab A. Hameed, and Othman Khalifa, and },
booktitle={2014 Global Congress on Digital Signal Processing (GC-Signals 2014)},
year={2014},
pages={--1},
doi={}},
organization={Mosharaka for Research and Studies}
}
