Covid Image Classification using Wavelet Feature Vectors and NN

Stella Vetova

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Abstract: In the following paper an algorithm for Covid images classification is presented. The algorithm classifies images into positive and negative group on the base of wavelet feature vectors and neuron network applied. To assess the proposed algorithm, experiments are conducted on the accuracy, precision and recall parameters. The results are analyzed showing the advantages of the algorithm and its appropriate application.

Keywords: wavelet feature vectors, wavelets, wavelet coefficients, neural network, image decomposition, image classification

Pages: 38-42

DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.

Engineering World, E-ISSN: 2692-5079, Volume 3, 2021, Art. #

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Covid Image Classification using Wavelet Feature Vectors and NN

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