Segmentation and Classification Networks for Corn/Weed Detection Under Excessive Field Variabilities.
Francisco Garibaldi-MárquezGerardo Ramon FloresLuis M. Valentín-CoronadoPublished in: MCPR (2023)
Keyphrases
- feature extraction and classification
- features extraction
- pattern recognition
- support vector machine svm
- classification accuracy
- reliable detection
- pixel classification
- feature vectors
- support vector machine
- machine learning
- image classification
- supervised learning
- decision trees
- false positives
- segmentation method
- class labels
- segmentation algorithm
- sign recognition
- image analysis
- support vector
- region growing
- image segmentation
- page segmentation
- digital mammograms
- discriminative classifiers
- lung nodules
- low signal to noise ratio
- feature space
- object segmentation
- automatic detection
- neyman pearson
- classification method
- classification algorithm
- object detection
- medical images
- text classification
- neural network
- multiscale
- detection rate
- level set