Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning.
Jeroen EggermontRui LiErnst G. P. BovenkampHenk A. MarqueringMichael T. M. EmmerichAad van der LugtThomas BäckJouke DijkstraJohan H. C. ReiberPublished in: EvoWorkshops (2008)
Keyphrases
- image segmentation
- graph partitioning
- genetic algorithm
- normalized cut
- multiscale
- evolutionary algorithm
- genetic programming
- boundary detection
- graph cuts
- computer vision
- image analysis
- x ray
- contour detection
- partitioning algorithm
- fitness function
- segmentation method
- level set method
- shape prior
- spectral clustering
- real time tracking
- neural network
- region growing
- deformable models
- image processing
- segmentation algorithm
- segmenting images
- unsupervised image segmentation
- tomographic reconstruction
- image segmentation algorithms
- evolution process
- pairwise
- active contours
- region merging
- perceptual grouping
- clustering method
- image reconstruction
- object segmentation
- fuzzy c means