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. 2021 Feb 20;21(4):1480. doi: 10.3390/s21041480
Algorithm 1 Proposed Algorithm for COVID-19 Detection
Input: COVID-19 Chest X-ray image dataset (D) with resize image (M)
Extraction: Extract Feature Matrix (f).
CNN Feature Vector (Fc).
Step 1: Initialize FcMi.i=1
Step 2: Extract each image feature Di,1,570.
Step 3: Fc i,1 = Mx,1 + Fc i,1.
Step 4: Fc = overall CNN features.
Histogram Oriented Gradient (HOG).
Step 1: Initialize. H0=Low pass output,H1=Band pass output.
Step 2: HOG i,1 = H0 i,1 + H1 i,1.
Step 3: HOG = overall Histogram Oriented Gradient
Fusion of features in Vector (V).
Training feature V=[Fc , HOG].
test_image=imreadimg.
Extract test feature (T) = repeat step 1, 2 from test_image.
result i=classify training feature, T.
Output: result i= COVID19 Positive or Normal.