An unsupervised orthogonal rotation invariant moment based fuzzy C-means approach for the segmentation of brain magnetic resonance images.
Chandan SinghAnu BalaPublished in: Expert Syst. Appl. (2021)
Keyphrases
- magnetic resonance images
- rotation invariant
- mri segmentation
- tissue segmentation
- fuzzy c means
- brain tumors
- brain tissue
- brain structures
- zernike moments
- medical images
- gray matter
- mr images
- mri images
- diffusion weighted
- partial volume
- white matter
- fuzzy clustering
- texture analysis
- image segmentation
- medical imaging
- mri data
- texture classification
- brain images
- feature vectors
- high resolution
- magnetic resonance imaging
- clustering algorithm
- shape features
- diffusion tensor
- gabor filters
- euclidean distance
- clustering method
- moment invariants
- machine learning
- texture features
- remote sensing
- level set
- high dimensional
- neural network
- membership functions
- image data
- k means
- image analysis