Analysis and automatic segmentation of images for lungs regions extraction in X-ray chest

J. Quintanilla-Domínguez, J. I. Yáñez-Vargas, Miriam Butanda-Serrano, Enrique Sánchez-Torrecitas
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Abstract

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.
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x线胸片肺区提取图像分析与自动分割
COVID-19在人类中引起的主要疾病之一是肺炎。本病主要侵袭肺部,x线胸部分析是诊断的有效方法之一。因此,在这项工作中,提出了一种方法,允许分割和分析x线胸部图像中属于肺部的区域。该方法主要基于一些数字图像处理技术的实现,如:对比度增强、分割、二值化和应用形态学操作作为侵蚀和扩张。
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