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

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

Many applications in image analysis require the accurate classification of complex patterns including both color and texture, e.g., in content image retrieval, biometrics, and the inspection of fabrics, wood, steel, ceramics, and fruits, among others. A new method for pattern classification using bo...

Full description

Bibliographic Details
Main Authors: Carlos F. Navarro, Claudio A. Perez
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Applied Sciences
Subjects:
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
Online Access:https://www.mdpi.com/2076-3417/9/15/3130

Similar Items

Similar Items