Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection.
Muhammad SharifMuhammad Attique KhanZahid IqbalMuhammad Faisal AzamMuhammad Ikram Ullah LaliMuhammad Younus JavedPublished in: Comput. Electron. Agric. (2018)
Keyphrases
- feature selection
- classification accuracy
- feature extraction
- feature extraction and classification
- support vector
- features extraction
- image segmentation
- feature space
- classification models
- text classification
- feature set
- method for feature selection
- machine learning
- feature selection and classification
- page segmentation
- high dimensionality
- object detection
- feature selection algorithms
- medical images
- image classification
- model selection
- discriminative features
- pattern recognition
- support vector machine
- segmentation algorithm
- segmentation method
- discriminative classifiers
- small sample
- feature subset
- feature vectors
- mutual information
- classification performances
- multiscale
- bounding box
- classification algorithm
- multi class
- irrelevant features
- pixel classification
- knn
- support vector machine svm
- redundant features
- text categorization
- unsupervised learning
- edge detection
- training data