International Journal of Electrical Engineering and Computer Science
E-ISSN: 2769-2507
Volume 3, 2021
A Comparative Study of Image Classification Models using NN and Similarity Distance
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Abstract: The following paper presents a comparative analysis based on two algorithms for Covid-19 image classification. Both of them use wavelet coefficients forming image features vector but they differ in the way the vectors are treated for the purpose of classification. The first algorithm uses the mechanism of similarity distance computation using Euclidean distance. The second model uses neural networks for the process of classification. The comparative analysis on the base of the two models is performed on accuracy, precision and recall performance measures. The obtained results show the advantages and disadvantages of both models for the analyzed parameters.
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Keywords: wavelet, wavelet coefficients, image decomposition, image feature vectors, wavelet transform, neural network, similarity distance, image classification
Pages: 109-113
International Journal of Electrical Engineering and Computer Science, E-ISSN: 2769-2507, Volume 3, 2021, Art. #18