The week's pick
Reseach Article
Mammographic Images Segmentation using Superpixel
| 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
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.
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