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

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


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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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.

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.

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  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 in 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: 1,563 | Views: 7,286

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

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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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[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

[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

[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

[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

[5] A new rectangular window based image cropping method for generalization of brain neoplasm classification systems, Zia, Razia, Akhtar, Pervez, Aziz, Arshad, International Journal of Imaging Systems and Technology, ISSN 0899-9457, Issue 3, Volume 28, 2018.
Digital Object Identifier: 10.1002/ima.22266

[6] 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

[7] Parametric Model Variability of the Proximal Femoral Sculptural Shape, Savic, Suzana Petrovic, Ristic, Branko, Jovanovic, Zoran, Matic, Aleksandar, Prodanovic, Nikola, Anwer, Nabil, Qiao, Lihong, Devedzic, Goran, International Journal of Precision Engineering and Manufacturing, ISSN 2234-7593, Issue 7, Volume 19, 2018.
Digital Object Identifier: 10.1007/s12541-018-0124-x

[8] 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

[9] 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

[10] 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

[11] 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

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

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