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3D Texture Feature Extraction and Classification Using GLCM and LBP-Based Descriptors

Stefania Barburiceanu, Romulus Terebes, Serban Meza
2021 Applied Sciences  
This leads to a great interest regarding 3D image feature extraction and classification techniques.  ...  The method could be used in textured volumetric data classification tasks.  ...  Figure 1 shows the diagram which describes the BM3DELBP feature extraction process. A textured image is used as input for the feature extraction system.  ... 
doi:10.3390/app11052332 doaj:e30fcd6bcf36473abbe35ba5f61314e0 fatcat:sdyqucblfnevdaoexudgne6gt4

Convolutional Neural Networks for Texture Feature Extraction. Applications to Leaf Disease Classification in Precision Agriculture

Stefania Barburiceanu, Serban Meza, Bogdan Orza, Raul Malutan, Romulus Terebes
2021 IEEE Access  
Within this context, we propose a deep learning-based feature extraction method for the identification of plant species and the classification of plant leaf diseases.  ...  In our approach, texture features are extracted from different layers of pre-trained Convolutional Neural Network models and are later applied to a machine-learning classifier.  ...  Also, in order to improve the robustness to Gaussian noise, the Block Matching and 3D Filtering Extended Local Binary Patterns (BM3DELBP) was introduced by us in [13] .  ... 
doi:10.1109/access.2021.3131002 fatcat:pms4z3xm2nejjdkkebgaaaohee