Segmentation of low contrast-to-noise ratio images applied to functional imaging using adaptive region growing.
Jorge CabelloA. BaileyI. KitchenM. GuyKevin WellsPublished in: Medical Imaging: Image Processing (2009)
Keyphrases
- region growing
- segmentation method
- segmentation algorithm
- edge detection
- contrast to noise ratio
- watershed transform
- segmented images
- magnetic resonance images
- image segmentation
- segmentation result
- brain mri
- image segmentation algorithm
- homogeneous regions
- image analysis
- seed points
- signal to noise ratio
- color image segmentation
- edge information
- som neural network
- image processing
- vessel segmentation
- input image
- initial segmentation
- pet images
- region merging
- final segmentation
- high resolution aerial images
- automatic segmentation
- image data
- seeded region growing
- superpixels
- active contours
- seed selection
- medical images
- high resolution
- magnetic resonance angiography
- positron emission tomography
- shape prior
- graph cuts
- ground truth
- medical imaging
- multiscale
- region homogeneity
- watershed segmentation
- level set
- boundary estimation
- microscopy images
- energy functional