Volume-quantization-based neural network approach to 3D MR angiography image segmentation.
Syoji KobashiNaotake KamiuraYutaka HataFujio MiyawakiPublished in: Image Vis. Comput. (2001)
Keyphrases
- image segmentation
- neural network
- multiscale
- computer vision
- method for image segmentation
- markov random field
- artificial neural networks
- image processing
- neural nets
- segmentation algorithm
- pattern recognition
- level set method
- boundary detection
- back propagation
- multilayer perceptron
- recurrent neural networks
- feed forward
- neural network model
- region growing
- gray level
- graph cuts
- image analysis
- quantization error
- network architecture
- real time tracking
- image segmentation algorithm
- unsupervised image segmentation
- neural network is trained
- energy function
- fuzzy logic
- x ray
- active contours
- self organizing maps
- deformable models
- object segmentation
- segmentation method
- graph partitioning
- spectral clustering
- bp neural network
- associative memory
- expectation maximization
- image segmentation algorithms
- image quality
- probabilistic relaxation
- level set
- fuzzy c means