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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Format: | Article |
Language: | English |
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Stefan cel Mare University of Suceava
2013-08-01
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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. |
first_indexed | 2024-04-13T13:32:00Z |
format | Article |
id | doaj.art-eadc90e7ce5a4567a54331e04b4794f6 |
institution | Directory Open Access Journal |
issn | 1582-7445 1844-7600 |
language | English |
last_indexed | 2024-04-13T13:32:00Z |
publishDate | 2013-08-01 |
publisher | Stefan cel Mare University of Suceava |
record_format | Article |
series | Advances in Electrical and Computer Engineering |
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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