Diagnosis and recognition of grape leaf diseases: An automated system based on a novel saliency approach and canonical correlation analysis based multiple features fusion.
Alishba AdeelMuhammad Attique KhanMuhammad SharifMuhammad Faisal AzamJamal Hussain ShahTariq UmerShaohua WanPublished in: Sustain. Comput. Informatics Syst. (2019)
Keyphrases
- feature fusion
- multiple features
- canonical correlation analysis
- data fusion
- feature space
- feature extraction
- feature set
- single feature
- low level features
- least squares
- image retrieval
- combining multiple
- feature vectors
- recognition rate
- multiple views
- metric learning
- fusion algorithm
- relevance feedback
- visual information
- object recognition
- pattern recognition
- partial least squares
- image processing
- classification accuracy
- high level
- face recognition
- dimensionality reduction methods
- machine learning
- support vector machine
- knn