A new feature extraction approach based on one dimensional gray level co-occurrence matrices for bearing fault classification.
Yilmaz KayaMelih KuncanKaplan KaplanMehmet Recep MinazH. Metin ErtunçPublished in: J. Exp. Theor. Artif. Intell. (2021)
Keyphrases
- gray level
- feature extraction
- texture analysis
- texture features
- gray scale
- feature vectors
- pattern classification
- image classification
- gray level images
- co occurrence
- pattern recognition
- input image
- feature space
- image segmentation
- support vector machine svm
- preprocessing
- texture images
- textural features
- thresholding method
- feature set
- run length
- extracted features
- feature selection
- machine learning
- classification accuracy
- edge detector
- gray value
- gabor filters
- grey level
- image processing
- local binary pattern
- feature extraction and classification
- wavelet transform
- rotation invariant
- support vector machine
- low contrast
- image contrast enhancement
- decision trees
- black and white
- homogeneous regions
- fractal dimension
- pixel values
- image quality