Identifikasi Citra Paru-Paru pada Pasien COVID-19 dengan Teknik Edge Detection

X-ray chest radiographs produce digital radiographic images of the area such as lungs, heart and ribs. This image can visualize lung condition patients with COVID-19. The Edge Detection technique see edges objects in lungs COVID-19 more clearly. are damaged due to GGO (Ground Glass Opacity) COVID-19, namely there is white fog, look blurry at or areas affected by disease also affect ​​​​the area. make it easier for health workers results on assist doctors handling patients. With advances computer field application processing techniques, this Technique uses Matlab software obtain edge clean COVDI-19 data used study were 30 samples COVID 10 healthy patients' a comparison sourced from Embung Fatimah Hospital Batam, which processed grayscale stage, then was preprocessed Intensity Adjustment segmented Active Contour using Technique. many 22 produced an accuracy value 73%. test identify object's quite clear producing pixels that so visible. perimeter right ranged 110,897 - 261,254 mm Area 267,719 940,668 mm2, Perimeter left 114,613 262,943 170.616 856,993 while had range 187,598 -270,624 514,947 1025.44 182,226 287,358 480,592 901,418 mm2 means virus infection reduces area, lower than lungs.