Quantitative And Qualitative Comparison Study Between Classification Methods On Normal And Abnormal (with a coronavirus ) Lung Images

Hala Kadhim Hasan, Departmentof remote sensing, Collage of remote sensing geophysics, Al-karkh universityFollow
Ayad A. Al-Ani, Department of Information & Communication Engineering , CollegeOf Information Engineering. Al-Nahrain universityFollow
Noor Z. Al-Khazraji, Department of Information & Communication Engineering , CollegeOf Information Engineering. Al-Nahrain universityFollow

Document Type

Article

Abstract

Classification is concerned with establishing criteria that can be used to identify or distinguish different populations of objects that appear in images. In this paper Supervised and unsupervised classification method applied on normal, abnormal (with a coronavirus) ct- lung images (which it took from Al shaikh zaeid Hospital) to study the quantitative and qualitative properties of these two categories. The analysis of performance with default quantitative parameters revealed that (kurtosis, skewness, entropy, Stander deviation (STD), mean). We found that: Qualitative (as seen) of abnormal lung images after applying Supervisors classification are better than the qualitative of abnormal lung images after applying unsupervisors classification to detect the virus with white color in the lower lobes of the lung.. from The quantitative Properties such as (kurtosis, skewness) of original lung images are similar in rising to resulted value after applying Supervisors classification on it, so Supervisors method is better than unSupervisors method to distinguishing between normal and abnormal lung images.

Keywords

skewness, Covid-19. unSupervisors classification, Supervisors classification, entropy, correlation

Recommended Citation

Hasan, Hala Kadhim; Al-Ani, Ayad A.; and Al-Khazraji, Noor Z. (2021) "Quantitative And Qualitative Comparison Study Between Classification Methods On Normal And Abnormal (with a coronavirus ) Lung Images," Al-Qadisiyah Journal of Pure Science: Vol. 26 : No. 3 , Article 10.
Available at: https://doi.org/10.29350/qjps.2021.26.3.1438