Open AccessAnalysis and automatic segmentation of images for lungs regions extraction in X-ray chest
Author(s) -
J. Quintanilla-Domínguez,
Juan Israel Yañez-Vargas,
Miriam Butanda-Serrano,
Enrique Sánchez-Torrecitas
Publication year - 2020
Publication title -
revista de análisis cuantitativo y estadístico
Language(s) - English
Resource type - Journals
ISSN - 2410-3438
DOI - 10.35429/jqsa.2020.21.7.18.27
Subject(s) - segmentation , computer science , pneumonia , artificial intelligence , covid-19 , contrast (vision) , image segmentation , computer vision , mathematical morphology , image processing , pattern recognition (psychology) , radiology , medicine , image (mathematics) , disease , pathology , infectious disease (medical specialty)
One of the main disease caused by the COVID-19 in the humans is the pneumonia. This disease mainly attacks the lungs and one of the effective methods for diagnosis is through X-ray chest analysis. Due this in this work a methodology that allow the segmentation and analysis of regions that belong to the lungs in images of X-ray chest is presented. This methodology is based mainly in the implementation of some digital image processing techniques such as: contrast enhancement, segmentation, binarization and the application of morphological operations as the erosion and dilatation.