Research Article
Mammographic Images Segmentation using Superpixel
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 182 - Issue 11 |
| Published: Aug 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 },
year = { 2018 },
volume = { 182 },
number = { 11 },
pages = { 26-30 },
doi = { 10.5120/ijca2018917733 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2018
%A Glenda Botelho
%A Alexandre Tadeu Rossini
%A Ary Henrique M. Oliveira
%T Mammographic Images Segmentation using Superpixel%T
%J International Journal of Computer Applications
%V 182
%N 11
%P 26-30
%R 10.5120/ijca2018917733
%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
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