Morphological edge detection and brain tumor segmentation in Magnetic Resonance (MR) images based on region growing and performance evaluation of modified Fuzzy C-Means (FCM) algorithm.
C. Jaspin Jeba SheelaG. SuganthiPublished in: Multim. Tools Appl. (2020)
Keyphrases
- region growing
- fuzzy c means
- magnetic resonance
- mr images
- edge detection
- fcm algorithm
- fcm clustering
- image segmentation
- multiscale
- mathematical morphology
- magnetic resonance images
- fuzzy clustering
- image processing
- medical images
- morphological operations
- brain tumors
- manual segmentation
- clustering algorithm
- brain tissue
- mr imaging
- brain images
- clustering method
- mri data
- image data
- hard c means
- segmentation method
- k means
- image registration
- region merging
- brain mri
- seed points
- segmentation result
- structuring elements
- contrast enhanced
- brain structures
- membership functions
- anatomical structures
- markov random field
- hybrid method
- image analysis
- medical imaging
- watershed transform
- gray level
- prostate cancer
- neural network
- energy function