Local Binary Pattern
[/ˈloʊkəl ˈbaɪnəri ˈpætərn/]
nounpl: Local Binary Patterns
Padrão Binário Local
1. A computer vision technique used for texture classification and feature extraction that analyzes the local structure of an image by comparing each pixel with its neighboring pixels and encoding the result as a binary number.
Local Binary Pattern is widely used in facial recognition systems to extract texture features from face images.
O Padrão Binário Local é amplamente utilizado em sistemas de reconhecimento facial para extrair características de textura de imagens de rosto.
2. A simple yet effective descriptor for representing local texture information in digital images, calculated by thresholding the neighborhood of each pixel and converting the result to a binary code.
The algorithm uses Local Binary Pattern descriptors to identify and classify different surface textures in medical imaging.
O algoritmo utiliza descritores de Padrão Binário Local para identificar e classificar diferentes texturas de superfície em imagens médicas.
Local Binary Pattern is a highly technical term used primarily in academic and professional contexts within computer vision and machine learning fields. It originated in research laboratories and is widely referenced in international scientific publications. The term is used identically in Brazilian Portuguese and European Portuguese technical communities, with the acronym LBP being universally recognized among practitioners regardless of language or region.
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