Morphological characteristics of X-ray thorax images of COVID-19 patients using the Bradley thresholding segmentation

The coronavirus disease 2019 (COVID-19) pandemic has made test screening much needed. Currently, the most commonly used is swab type. Although in fact, there also a method with chest radiology. purpose of this study to develop COVID-19 early detection system based on X-ray images patient's thorax form computer-aided diagnosis. This case fact that modalities are available several health care centers Indonesia, compared other such as computed tomography (CT) scan or magnetic resonance imaging (MRI). In paper, we emphasize image segmentation process explore morphological information thorax. We use Bradley thresholding method. results obtained promising be further developed performance percentage 73.33% for patients and 54% normal patients.