Cotton pests classification in field-based images using deep residual networks.
Adão Nunes AlvesWitenberg Santiago Rodrigues SouzaDíbio Leandro BorgesPublished in: Comput. Electron. Agric. (2020)
Keyphrases
- image classification
- ground truth
- image analysis
- three dimensional
- input image
- image features
- image data
- image retrieval
- decision trees
- test images
- image registration
- image set
- image collections
- handwritten digits
- correct classification rate
- pigmented skin lesions
- classification accuracy
- image processing
- feature extraction
- pattern recognition
- image regions
- feature points
- unsupervised learning
- lighting conditions
- machine learning
- hyperspectral images
- support vector
- extracting features
- image database
- feature vectors
- feature representation
- skin lesion
- gabor filters
- high resolution computed tomography
- image annotation
- complex networks
- network structure
- segmentation method
- class labels
- segmentation algorithm
- text classification
- edge detection
- d objects
- object recognition
- training data