Publication de 12 numéros par an
ISSN Imprimer: 0040-2508
ISSN En ligne: 1943-6009
Indexed in
IMAGE CLASSIFICATION METHOD MODIFICATION BASED ON MODEL OF LOGIC PROCESSING OF BIT DESCRIPTION WEIGHTS VECTOR
RÉSUMÉ
The increasing of image classification efficiency is proposed through the introduction of effective ways of bits description weights vector for etalon images, which is presented as a set of key point descriptors. Mathematical models of logical processing are proposed in order to determine weight coefficients and construct similarity measures for image descriptions. Software modeling of processing methods is performed; classification efficiency using modified approaches in applied image databases is evaluated. Results of modeling have been confirmed the increase in classification performance for the proposed modifications to logical data processing.
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Daradkeh Yousef Ibrahim, Tvoroshenko Iryna, Gorokhovatskyi Volodymyr, Latiff Liza Abdul, Ahmad Norulhusna, Development of Effective Methods for Structural Image Recognition Using the Principles of Data Granulation and Apparatus of Fuzzy Logic, IEEE Access, 9, 2021. Crossref