Convolutional neural networks applied to classification of nanoparticles and nanotubes images.
Luis A. Quintero-LópezJesús Caro-GutierrezFélix F. González-NavarroMario A. Curiel AlvarezOscar M. Pérez LanderosNicola Radnev NedevPublished in: ENC (2023)
Keyphrases
- image classification
- feature extraction and selection
- pattern recognition
- ground truth
- image analysis
- input image
- image features
- feature extraction
- three dimensional
- image database
- image collections
- segmentation method
- image retrieval
- edge detection
- classification accuracy
- support vector machine
- test images
- pigmented skin lesions
- decision trees
- image set
- machine learning
- computer vision
- image data
- similarity measure
- image matching
- extracted features
- preprocessing stage
- support vector
- convolutional neural networks
- image regions
- classification method
- image segmentation
- class labels
- image quality
- gabor filters
- automatically detected
- thematic mapper
- feature vectors