Color?Texture Pattern Classification Using Global?Local Feature Extraction, an SVM Classifier, with Bagging Ensemble Post-Processing

Carlos F. Navarro and Claudio A. Perez

Resumen

The proposed method is a new tool to characterize colored textures and may be applied in various applications such as content image retrieval, characterization of rock samples, biometrics, classification of fabrics, and in non-destructive inspection in wood, steel, ceramic, fruit, and aircraft surfaces.

Palabras claves

colored texture pattern classification - global?local texture classification - color?texture features - color?texture feature extraction - bagging post-processing - BQMP and Haralick global?local feature integration

Acceso

PÁGINAS

pp. 0 - 0

NÚMERO

Volumen: 9 Parte: 15 (2019)

MATERIAS

INGENIERÍA Y CONSTRUCCIÓN CIVIL
TECNOLOGÍA

DOI

https://doi.org/10.3390/app9153130

Color?Texture Pattern Classification Using Global?Local Feature Extraction, an SVM Classifier, with Bagging Ensemble Post-Processing

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