Region and active contour-based segmentation technique for medical and weak-edged images

Aboaba, Abdulfattah A. and Hameed, Shihab A. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha (2015) Region and active contour-based segmentation technique for medical and weak-edged images. Computational and Applied Mathematics , 1 (3). pp. 71-78.

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Abstract

One of the key requirement in image guided surgery (IGS)/ computer aided surgery (CAS) planning is accurate segmentation of the images concerned. It is also 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 technique employing two-stage segmentation in which one of the stage is also an hybrid of two segmentation methods is developed for medical images in particular, and weak-edged images in general. The first stage employs hybrid of multiple-thresholding and correlation matching. The output image of the first stage was use as the input image to the second stage to generate the final output using the modified Chan-Vese level-set algorithm (MLSA). The results obtained is accurate as showed in figures 2, 3, and 4.

Item Type:	Article (Journal)
Additional Information:	4428/42847
Uncontrolled Keywords:	Image Segmentation, Multiple-Thresholding, Correlation Matching, Level-Set Algorithm, Image Guided Surgery
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	13 May 2015 10:59
Last Modified:	17 Nov 2017 11:59
URI:	http://irep.iium.edu.my/id/eprint/42847

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