An edge-based segmentation technique for 2D still-image with cellular neural networks.
Giancarlo IannizzottoFrancesco La RosaPietro LanzafamePublished in: ETFA (2005)
Keyphrases
- cellular neural networks
- segmentation method
- image segmentation
- segmentation algorithm
- multiscale
- grey level
- image regions
- image analysis
- image content
- test images
- image segmentation algorithm
- edge detection
- single image
- input image
- pixel level
- image data
- energy function
- image features
- adaptive thresholding
- gray level images
- optimal segmentation
- region growing
- image pixels
- segmentation errors
- active contours
- high resolution
- image segments
- foreground and background
- homogeneous regions
- region segmentation
- segmented images
- watershed algorithm
- energy functional
- image edges
- multiple objects
- brain mr images
- gray value
- image retrieval
- microscopy images
- berkeley segmentation dataset
- watershed transformation
- piecewise constant
- segmentation accuracy
- pixel wise
- bounding box
- low depth of field
- vector field
- image matching
- gray level
- neural network
- white blood
- fixed point
- image processing