Pneumonia is one of the foremost lung diseases and untreated pneumonia will lead to serious threats for all age groups. The proposed work aims to extract and evaluate the Coronavirus disease (COVID-19) caused pneumonia infection in lung using CT scans. We propose an image-assisted system to extract COVID-19 infected sections from lung CT scans (coronal view). It includes following steps: (i) Threshold filter to extract the lung region by eliminating possible artifacts; (ii) Image enhancement using Harmony-Search-Optimization and Otsu thresholding; (iii) Image segmentation to extract infected region(s); and (iv) Region-of-interest (ROI) extraction (features) from binary image to compute level of severity. The features that are extracted from ROI are then employed to identify the pixel ratio between the lung and infection sections to identify infection level of severity. The primary objective of the tool is to assist the pulmonologist not only to detect but also to help plan treatment process. As a consequence, for mass screening processing, it will help prevent diagnostic burden.

本研究旨在通过CT扫描来提取和评估因Coronavirus disease (COVID-19)引起的肺炎感染。提出了基于图像辅助的系统来从肺部CT扫描的冠状视图中提取COVID-19感染部分，并计算感染的严重程度。该工具的主要目的是协助肺部专家检测和计划治疗过程，并减轻诊断负担。

基于Harmony-Search和Otsu的肺CT扫描图像新型冠状病毒疾病（COVID-19）检测系统