Open AccessResearch of the efficiency of application of technologies of wavelet analysis in the tasks of recognition of images
Author(s) -
Vladislav Maraev
Publication year - 2021
Publication title -
sovremennye innovacii, sistemy i tehnologii
Language(s) - English
Resource type - Journals
eISSN - 2782-2826
pISSN - 2782-2818
DOI - 10.47813/2782-2818-2021-1-1-23-28
Subject(s) - wavelet , pattern recognition (psychology) , artificial intelligence , computer science , naive bayes classifier , support vector machine , classifier (uml) , projection (relational algebra) , fractal , machine learning , mathematics , algorithm , mathematical analysis
The work is devoted to the experimental comparison of the accuracy of classification methods on the problem of pattern recognition in images using wavelet analysis technologies and without. In particular, the interaction of the ring-projection wavelet-fractal method for identifying features with classical classification methods such as "Naive Bayes classifier" and "Support vector machines" is investigated. The experimental test results are given in the form of a table. As a result, it is established that the introduction of wavelet analysis into the construction of image classification models is justified, and leads to a relatively small but significant increase in the classification accuracy.