Images sub-segmentation with the PFCM clustering algorithm.
Benjamín Ojeda-MagañaJoel Quintanilla-DomínguezRuben RuelasDiego AndinaPublished in: INDIN (2009)
Keyphrases
- fuzzy c means
- segmentation method
- segmentation algorithm
- clustering algorithm
- image analysis
- test images
- accurate segmentation
- image features
- image segmentation
- segmentation errors
- fully automatic
- image regions
- edge detection
- image database
- segmentation accuracy
- image data
- microscopic images
- adaptive thresholding
- ground truth
- grey level
- segmented images
- object recognition
- image registration
- pixel wise
- low depth of field
- automatically segmented
- tubular structures
- image segmentation algorithms
- input image
- multiple objects
- microscopy images
- image retrieval
- region growing
- pixel level
- fuzzy clustering
- multiscale
- image segments
- positron emission tomography
- level set
- medical images
- image slices
- pattern recognition
- shape prior
- k means
- clustering method