Neural networks with divisive normalization for image segmentation.
Pablo Hernández-CámaraJorge Vila-TomásValero LaparraJesús MaloPublished in: Pattern Recognit. Lett. (2023)
Keyphrases
- neural network
- image segmentation
- active contours
- level set method
- contour detection
- markov random field
- artificial neural networks
- pattern recognition
- computer vision
- multiscale
- multi layer
- unsupervised image segmentation
- back propagation
- preprocessing
- feed forward
- hierarchical clustering
- neural network model
- boundary detection
- segmentation method
- parameter free
- graph cuts
- fuzzy logic
- image analysis
- image segmentation algorithms
- agglomerative clustering
- genetic algorithm
- fuzzy systems
- normalization method
- object segmentation
- self organizing maps
- image processing
- clustering method
- principal direction
- method for image segmentation
- recurrent neural networks
- markov random field model
- probabilistic relaxation
- medical imaging
- rule extraction
- energy function
- shape prior
- gray level
- segmentation algorithm
- clustering algorithm
- image segmentation algorithm
- hopfield neural network
- training algorithm
- spectral clustering
- region growing
- fuzzy c means