Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images

•Automatically enhance, divide, and validate the COVID-19 CT images into regions with similar properties such as structure.•Efficient Kapur entropy-based multilevel thresholding unsupervised procedure.•Measure, visualize, and study comparisons of the infected by COVID-19 volume.•The proposed reach the desired heat-mapping results of the lesion and has the potential to be used for clinical applications.