Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Nov 2017
Next issue: Feb 2018
Avg review time: 104 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

1,792,024 unique visits
514,158 downloads
Since November 1, 2009



No robots online now


SJR SCImago RANK

SCImago Journal & Country Rank


SEARCH ENGINES

aece.ro - Google Pagerank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 17 (2017)
 
     »   Issue 4 / 2017
 
     »   Issue 3 / 2017
 
     »   Issue 2 / 2017
 
     »   Issue 1 / 2017
 
 
 Volume 16 (2016)
 
     »   Issue 4 / 2016
 
     »   Issue 3 / 2016
 
     »   Issue 2 / 2016
 
     »   Issue 1 / 2016
 
 
 Volume 15 (2015)
 
     »   Issue 4 / 2015
 
     »   Issue 3 / 2015
 
     »   Issue 2 / 2015
 
     »   Issue 1 / 2015
 
 
 Volume 14 (2014)
 
     »   Issue 4 / 2014
 
     »   Issue 3 / 2014
 
     »   Issue 2 / 2014
 
     »   Issue 1 / 2014
 
 
  View all issues  


FEATURED ARTICLE

Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance, ZHANG, Y., WANG, P., CHENG, P., LEI, S.
Issue 3/2017

AbstractPlus






LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

Read More »


    
 

  3/2013 - 14

A Comparison of X-Ray Image Segmentation Techniques

STOLOJESCU-CRISAN, C. See more information about STOLOJESCU-CRISAN, C. on SCOPUS See more information about STOLOJESCU-CRISAN, C. on IEEExplore See more information about STOLOJESCU-CRISAN, C. on Web of Science, HOLBAN, S. See more information about HOLBAN, S. on SCOPUS See more information about HOLBAN, S. on SCOPUS See more information about HOLBAN, S. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (722 KB) | Citation | Downloads: 1,400 | Views: 6,163

Author keywords
image processing, image segmentation, biomedical imaging, digital images, X-rays

References keywords
segmentation(30), image(30), images(11), medical(10), processing(9), analysis(7), techniques(6), automatic(6), active(6), technology(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-08-31
Volume 13, Issue 3, Year 2013, On page(s): 85 - 92
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03014
Web of Science Accession Number: 000326321600014
SCOPUS ID: 84884928131

Abstract
Quick view
Full text preview
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.


References | Cited By

Cited-By ISI Web of Science

Web of Science® Times Cited: 9 [View]
View record in Web of Science® [View]
View Related Records® [View]

Updated today


Cited-By CrossRef

SCOPUS® Times Cited: 11
View record in SCOPUS®
[Free preview]

Updated today

Cited-By CrossRef

[1] Enhanced X-ray image segmentation method using prior shape, Mohammadi, Hossein Mahvash, de Guise, Jacques A., IET Computer Vision, ISSN 1751-9632, Issue 2, Volume 11, 2017.
Digital Object Identifier: 10.1049/iet-cvi.2016.0301
[CrossRef]

[2] Cross-sectional constants of composite blades using computed tomography technique and finite element analysis, Jung, Sung Nam, Dhadwal, Manoj Kumar, Kim, Young Woo, Kim, Ju Hyuk, Riemenschneider, Johannes, Composite Structures, ISSN 0263-8223, Issue , 2015.
Digital Object Identifier: 10.1016/j.compstruct.2015.03.074
[CrossRef]

[3] Classification of long-bone fractures based on digital-geometric analysis of X-ray images, Bandyopadhyay, O., Biswas, A., Bhattacharya, B. B., Pattern Recognition and Image Analysis, ISSN 1054-6618, Issue 4, Volume 26, 2016.
Digital Object Identifier: 10.1134/S1054661816040027
[CrossRef]

[4] Weld Inspection Based on Radiography Image Segmentation with Level Set Active Contour Guided Off-Center Saliency Map, Ben Gharsallah, Mohamed, Ben Braiek, Ezzeddine, Advances in Materials Science and Engineering, ISSN 1687-8434, Issue , 2015.
Digital Object Identifier: 10.1155/2015/871602
[CrossRef]

[5] Dental segmentation from X-ray images using semi-supervised fuzzy clustering with spatial constraints, Son, Le Hoang, Tuan, Tran Manh, Engineering Applications of Artificial Intelligence, ISSN 0952-1976, Issue , 2017.
Digital Object Identifier: 10.1016/j.engappai.2017.01.003
[CrossRef]

[6] Automatic Segmentation of Bones in X-ray Images Based on Entropy Measure, Bandyopadhyay, Oishila, Chanda, Bhabatosh, Bhattacharya, Bhargab B., International Journal of Image and Graphics, ISSN 0219-4678, Issue 01, Volume 16, 2016.
Digital Object Identifier: 10.1142/S0219467816500017
[CrossRef]

[7] Bone extraction in X-ray images by analysis of line fluctuations, Kazeminia, S., Karimi, N., Mirmahboub, B., Soroushmehr, S.M.R., Samavi, S., Najarian, K., 2015 IEEE International Conference on Image Processing (ICIP), ISBN 978-1-4799-8339-1, 2015.
Digital Object Identifier: 10.1109/ICIP.2015.7350926
[CrossRef]

[8] An improved edge detection using morphological Laplacian of Gaussian operator, Anand, Ashish, Tripathy, Sanjaya Shankar, Kumar, R. Sukesh, 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), ISBN 978-1-4799-5991-4, 2015.
Digital Object Identifier: 10.1109/SPIN.2015.7095391
[CrossRef]

[9] Using statistical parametric contour and threshold segmentation technology applied in X-ray bone images, Kuang-Yi Chou, , Chien-Sheng Lin, , Chin-Hsiang Chien, , Jen-Shiun Chiang, , Chih-Hsien Hsia,, 2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), ISBN 978-1-5090-0629-8, 2016.
Digital Object Identifier: 10.1109/ISPACS.2016.7824769
[CrossRef]

Updated today

Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.

Web of Science® is a registered trademark of Thomson Reuters, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.


Copyright ©2001-2017
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: