Open AccessIdentifikasi Pneumonia Pada Citra Rontgen Paru Menggunakan Metode Power-Law Trans
Author(s) -
Kadek Suarjuna Batubulan,
Ridwan Rismanto
Publication year - 2021
Publication title -
jurnal informatika polinema
Language(s) - English
Resource type - Journals
eISSN - 2614-6371
pISSN - 2407-070X
DOI - 10.33795/jip.v7i2.671
Subject(s) - pneumonia , medicine , wavelet , boundary (topology) , pathology , artificial intelligence , computer science , mathematics , mathematical analysis
This paper proposes a system for pneumonia disease classification using X-rays images. This research explores various steps of image processing namely Power-Law Trans, Gabor Wavelet and Boundary. The main aim of this step is to identify infiltrate of human lungs X-Ray images and quantify the infiltration. The result indicates the classification of pneumonia disease into normal, mild pneumonia, and chronic pneumonia.
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