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Local Binary Pattern Image Description Process for Learning Machines

Stevica S. Cvetkovic, MiloÃ…Â¡ B. Stojanovic, SaÃ…Â¡a V. Nikolic, Goran Z. Stancic
University of NiÃ…Â¡, Faculty of Electronic Engineering Aleksandra Medvedeva 14, 18000 NiÃ…Â¡ Serbia

Abstract: In the multiclass image classification, the Kernel based Extreme Learning Machines are used in this work. To ensure perfection and accuracy of results we have used the Local Binary Pattern image description process. To get robustness in the illumination and resolution changes, the local binary pattern based global image description is used. We further categorized the images with K-ELM model. Experiments were conducted using a standard benchmarking dataset with approximately 1000 images which are classified into ten divisions. The results confirm best accurately the results while comparing with other compatiable models.

Keywords: Image Classification, Neural Networks, Kernel based Extreme Learning Machines, Local Binary Patterns Local Binary Pattern Image Description Process for Learning Machines

DOI:https://doi.org/10.6025/jmpt/2022/13/2/36-41

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