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Mammographic Images Segmentation using Superpixel

by Glenda Botelho, Alexandre Tadeu Rossini, Ary Henrique M. Oliveira
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 11
Year of Publication: 2018
Authors: Glenda Botelho, Alexandre Tadeu Rossini, Ary Henrique M. Oliveira
10.5120/ijca2018917733

Glenda Botelho, Alexandre Tadeu Rossini, Ary Henrique M. Oliveira . Mammographic Images Segmentation using Superpixel. International Journal of Computer Applications. 182, 11 ( Aug 2018), 26-30. DOI=10.5120/ijca2018917733

@article{ 10.5120/ijca2018917733,
author = { Glenda Botelho, Alexandre Tadeu Rossini, Ary Henrique M. Oliveira },
title = { Mammographic Images Segmentation using Superpixel },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2018 },
volume = { 182 },
number = { 11 },
month = { Aug },
year = { 2018 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number11/29866-2018917733/ },
doi = { 10.5120/ijca2018917733 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:11:09.513942+05:30
%A Glenda Botelho
%A Alexandre Tadeu Rossini
%A Ary Henrique M. Oliveira
%T Mammographic Images Segmentation using Superpixel
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 11
%P 26-30
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The images segmentation is a very important step for the area of image analysis and has the objective of separating regions of an image according to the objects represented in it. However, this is a challenging step in image processing area, since most traditional segmentation techniques have a high computational cost, which difficult their application in high resolution images. Based in this context, this paper proposes the use of the superpixels extraction technique, known as Speeded-up Turbo Pixels, to segment high resolution mammographic images with satisfactory processing time.

References
  1. Gonzalez, R. C. and Woods, R. E. 2002. Digital image processing. 2nd Edition: Prentice Hall.
  2. Fu, K. S. and Mui, J. K. 1981. A survey on image segmentation. Pattern recognition, 13(1), pp. 3-16.
  3. Gonzalez, R. C. and Woods, R. E. 2010. Digital image processing. Pearson Prentice Hall.
  4. Theodoridis, S. 2003. Konstantinos koutroumbas pattern recognition. Elsevier.
  5. Cuadros, O., Botelho, G., Rodrigues, F. and Neto, J. B. Segmentation of large images with complex networks. IEEE Graphics, Patterns and Images (SIBGRAPI), 2012 25th SIBGRAPI Conference; 2012: 24-31.
  6. Cigla, C. and Alatan, A. A. Eficient graph-based image segmentation via speeded-up turbo pixels. In Image Processing (ICIP), 2010 17th IEEE International Conference; 2010: 3013-16.
  7. Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P. and S. Susstrunk. SLIC superpixels compared to state-of-the-Art superpixel methods. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(11):2274–2282, 2012.
  8. Linares, O. C., Botelho, G. M., Rodrigues, F. and Batista Neto, J. Segmentation of large images based on super-pixels and community detection in graphs. IET Image Processing, v. 11, p. 1219-1228, 2017.
  9. World Health Organization (WHO) [homepage on the Internet]. World health statistics annual: 1997-1999. WHO; 2001. Available from: http://www.who.int/en/
Index Terms

Computer Science
Information Sciences

Keywords

Image Segmentation Superpixel Mammographic Image Medical Image Processing Heath Informatics.

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