Please use this identifier to cite or link to this item:
Title: Analysis of global and local intensity distributions for the segmentation of computed tomography images
Authors: Alemán-Flores, Miguel 
Alemán-Flores, Patricia 
Fuentes-Pavón, Rafael
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: Computerized tomography
Geographical distribution
Image analysis
System theory
Issue Date: 2015
Journal: Lecture Notes in Computer Science 
Conference: 15th International Conference on Computer Aided Systems Theory 
15th International Conference on Computer Aided Systems Theory, EUROCAST 2015 
Abstract: The segmentation of Computed Tomography images is an extremely challenging task due to the heterogeneities of the regions, their textured intensities, the presence of noise and the blurred edges which define the limits of the different areas. In this work, we propose a method for obtaining a segmentation of the abdominal region in Computed Tomography images based on the analysis of the global distribution of the intensity values in the whole data set and the local distribution within the neighborhood of each pixel. The global information is used to obtain an initial approximation, whereas the local data are analyzed to extract a much more accurate and complete segmentation. The combination of both scales allows obtaining a quite satisfactory segmentation in an automatic way.
ISBN: 978-3-319-27339-6
ISSN: 0302-9743
DOI: 10.1007/978-3-319-27340-2_62
Source: Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science, vol 9520. Springer, Cham
Appears in Collections:Actas de congresos
Show full item record

Page view(s)

checked on Feb 28, 2021

Google ScholarTM




Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.