Utilizing Clustering FCM And Contrast Based Enhancement to Isolate Covid-19 Infected Regions in CT Lung Images
HIV Nursing
; 23(1):804-808, 2023.
Article
in English
| CINAHL | ID: covidwho-2205837
ABSTRACT
Covid-19 disease that directly affecting lungs is an acute disease caused death of many people around word, so the early detecting of it and asses the relative ratio of the lung infection is a vital need. In this work, Histogram based contrast adjustment was implemented to enhance four lung abnormal CT scan images to highlight the abnormal regions within the experimental images. Fuzzy c-mean algorithm then was applied to segment the images in order to detect and isolate the infected regions. Besides, several morphological operations were employed to extract the refined infected Covid-19 areas effectively with accuracy of 96%.
Full text:
Available
Collection:
Databases of international organizations
Database:
CINAHL
Language:
English
Journal:
HIV Nursing
Year:
2023
Document Type:
Article
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