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Inicio  /  Applied Sciences  /  Vol: 9 Par: 9 (2019)  /  Artículo
ARTÍCULO
TITULO

Artificial Bee Colony Programming Descriptor for Multi-Class Texture Classification

Sibel Arslan and Celal Ozturk    

Resumen

Texture classification aims to identify textures using few samples. Local Binary Pattern (LBP) and GP-descriptor are most used texture classification algorithms. Artificial Bee Colony Programming-Descriptor (ABCP-Descriptor) evaluates samples to extract mathematical models. Comparative results show that proposed ABCP-Descriptor is a successful texture classification method.

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