A Comparison of X-Ray Image Segmentation Techniques

Image segmentation operation has a great importance in most medical imaging applications, by extracting anatomical structures from medical images. There are many image segmentation techniques available in the literature, each of them having advantages and disadvantages. The extraction of bone cont...

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Main Authors: STOLOJESCU-CRISAN, C., HOLBAN, S.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2013-08-01
Series:Advances in Electrical and Computer Engineering
Subjects:
Online Access:http://dx.doi.org/10.4316/AECE.2013.03014
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author STOLOJESCU-CRISAN, C.
HOLBAN, S.
author_facet STOLOJESCU-CRISAN, C.
HOLBAN, S.
author_sort STOLOJESCU-CRISAN, C.
collection DOAJ
description Image segmentation operation has a great importance in most medical imaging applications, by extracting anatomical structures from medical images. There are many image segmentation techniques available in the literature, each of them having advantages and disadvantages. The extraction of bone contours from X-ray images has received a considerable amount of attention in the literature recently, because they represent a vital step in the computer analysis of this kind of images. The aim of X-ray segmentation is to subdivide the image in various portions, so that it can help doctors during the study of the bone structure, for the detection of fractures in bones, or for planning the treatment before surgery. The goal of this paper is to review the most important image segmentation methods starting from a data base composed by real X-ray images. We will discuss the principle and the mathematical model for each method, highlighting the strengths and weaknesses.
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spelling doaj.art-eadc90e7ce5a4567a54331e04b4794f62022-12-22T02:44:58ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002013-08-01133859210.4316/AECE.2013.03014A Comparison of X-Ray Image Segmentation TechniquesSTOLOJESCU-CRISAN, C.HOLBAN, S.Image segmentation operation has a great importance in most medical imaging applications, by extracting anatomical structures from medical images. There are many image segmentation techniques available in the literature, each of them having advantages and disadvantages. The extraction of bone contours from X-ray images has received a considerable amount of attention in the literature recently, because they represent a vital step in the computer analysis of this kind of images. The aim of X-ray segmentation is to subdivide the image in various portions, so that it can help doctors during the study of the bone structure, for the detection of fractures in bones, or for planning the treatment before surgery. The goal of this paper is to review the most important image segmentation methods starting from a data base composed by real X-ray images. We will discuss the principle and the mathematical model for each method, highlighting the strengths and weaknesses.http://dx.doi.org/10.4316/AECE.2013.03014image processingimage segmentationbiomedical imagingdigital imagesX-rays
spellingShingle STOLOJESCU-CRISAN, C.
HOLBAN, S.
A Comparison of X-Ray Image Segmentation Techniques
Advances in Electrical and Computer Engineering
image processing
image segmentation
biomedical imaging
digital images
X-rays
title A Comparison of X-Ray Image Segmentation Techniques
title_full A Comparison of X-Ray Image Segmentation Techniques
title_fullStr A Comparison of X-Ray Image Segmentation Techniques
title_full_unstemmed A Comparison of X-Ray Image Segmentation Techniques
title_short A Comparison of X-Ray Image Segmentation Techniques
title_sort comparison of x ray image segmentation techniques
topic image processing
image segmentation
biomedical imaging
digital images
X-rays
url http://dx.doi.org/10.4316/AECE.2013.03014
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