Digital Mammogram Classification Using Compound Local Binary Pattern Features with Principal Component Analysis Based Feature Reduction Approach.
Menaxi J. BagchiFiglu MohantySuvendu RupBodhisattva DashBanshidhar MajhiPublished in: ICACDS (1) (2018)
Keyphrases
- feature reduction
- feature set
- local binary pattern
- rough sets
- principal component analysis
- classification accuracy
- text categorization
- random forest
- feature extraction
- linear discriminant analysis
- texture segmentation
- reduction method
- feature selection
- texture features
- texture analysis
- face recognition
- support vector machine
- texture classification
- viterbi algorithm
- k nearest neighbor
- knn
- rough set theory
- multiscale
- dimensionality reduction
- co occurrence
- feature vectors
- feature space
- data analysis
- classification algorithm
- neural network
- gray level co occurrence matrix
- spatial information
- class labels
- benchmark datasets
- support vector machine svm
- dynamic programming
- image analysis
- training set
- image sequences
- image processing
- data mining