Automatic Early Broken-Rotor-Bar Detection and Classification Using Otsu Segmentation.
Misael Lopez-RamirezLuis Manuel Ledesma-CarrilloFrancisco M. Garcia-GuevaraJorge Muñoz-MinjaresEduardo Cabal-YepezFrancisco J. Villalobos-PinaPublished in: IEEE Access (2020)
Keyphrases
- features extraction
- statistical classification
- otsu method
- feature extraction and classification
- pattern recognition
- classification accuracy
- threshold selection
- lesion segmentation
- image classification
- level set
- segmentation algorithm
- feature vectors
- support vector machine svm
- feature selection
- reliable detection
- classification method
- thresholding method
- sign recognition
- detection rate
- decision trees
- image segmentation
- image analysis
- object detection
- feature extraction
- lung disease
- fully automatic
- discriminative classifiers
- detection algorithm
- mathematical model
- page segmentation
- pixel classification
- support vector
- multiscale
- complex background
- energy minimization
- automatic detection
- semi automatic