Digital image processing techniques have been widely used in the medical field, including in medical image analysis. One part of the image processing technique that plays an essential role in medical image analysis is image segmentation. This paper will discuss the performance of conventional edge detection, which consists of the Sobel, Canny, Prewitt, and Robert methods in segmenting the lungs, especially COVID19 patients. Based on the conventional edge detection method, we conducted a trial of measuring the lung area and the white patches contained therein. In addition, we compared the area between the lungs of normal patients and the lungs of Covid patients. The experimental results show that of the four types of conventional edge detection methods used, all of them have almost the same performance both in processing time and the results of the calculation of lung area obtained. Based on the experimental results, the conventional edge detection method can be considered for further development.

Topics
Image processing, Optical imaging, Coronaviruses, Organs, Medical fields
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