Image segmentation of G bands of Triticum monococcum chromosomes based on the model-based neural network.
Nian CaiKuanghu HuHaitao XiongShuyu LiWanfang SuFengsui ZhuPublished in: Pattern Recognit. Lett. (2004)
Keyphrases
- neural network
- image segmentation
- genetic algorithm
- evolutionary algorithm
- markov random field
- boundary detection
- image processing
- artificial neural networks
- back propagation
- multiscale
- contour detection
- graph cuts
- pattern recognition
- feed forward neural networks
- fuzzy logic
- active contours
- neural nets
- method for image segmentation
- frequency domain
- image data
- segmentation method
- deformable models
- neural network model
- recurrent neural networks
- control system
- image analysis
- computer vision
- level set method
- neural network is trained
- unsupervised image segmentation
- fuzzy artmap
- image segmentation algorithm
- region merging
- genetic operators
- texture segmentation
- network architecture
- energy functional
- training algorithm
- object segmentation
- bp neural network
- prediction model
- fuzzy c means
- shape prior
- spectral clustering
- self organizing maps
- segmentation algorithm
- expectation maximization