Texture Segmentation by Biologically-Inspired Use of Neural Networks and Mathematical Morphology.
Mario KöppenJavier Ruiz-del-SolarPierre SoillePublished in: NC (1998)
Keyphrases
- biologically inspired
- mathematical morphology
- texture segmentation
- neural network
- learning rules
- texture analysis
- image analysis
- multiresolution
- spiking neural networks
- gray scale
- gabor filters
- binary images
- morphological operators
- pattern recognition
- receptive fields
- image and signal processing
- image segmentation
- biologically plausible
- image processing
- morphological image processing
- edge detection
- adaptive neighborhood
- spatially variant
- back propagation
- active contour model
- humanoid robot
- artificial neural networks
- motor control
- feed forward
- structuring elements
- morphological filters
- colour images
- gray level
- natural images
- partial differential equations
- local binary pattern