Supervised Segmentation of Textures in Backscatter Images.
Pavel PaclíkRobert P. W. DuinGeert M. P. van KempenReinhard KohlusPublished in: ICPR (2) (2002)
Keyphrases
- segmentation algorithm
- textured images
- segmentation method
- images of natural scenes
- test images
- segmented images
- image analysis
- unsupervised segmentation
- textural information
- ground truth
- image regions
- input image
- accurate segmentation
- adaptive thresholding
- microscopic images
- edge detection
- markov random field model
- segmentation errors
- low depth of field
- three dimensional
- textured regions
- image database
- image segmentation
- image features
- grey level
- object recognition
- random fields
- multiple objects
- image registration
- image retrieval
- image segments
- tubular structures
- microscopy images
- segmentation accuracy
- automatically segmented
- image slices
- multiscale
- image data
- brodatz textures
- cell nuclei
- image classification
- energy function
- image texture
- semi supervised
- fully automatic
- image segmentation algorithms
- markov random field
- multiple scales
- pixel level
- feature extraction
- object segmentation
- region growing
- pigmented skin lesions