A global unimodal thresholding based on probabilistic reference maps for the segmentation of muscle images.
Laurence Sifre-MaunierRichard G. TaylorPhilippe BergeJoseph CulioliJean-Marie BonnyPublished in: Image Vis. Comput. (2006)
Keyphrases
- adaptive thresholding
- edge detection
- segmentation algorithm
- thresholding method
- segmentation method
- test images
- global thresholding
- image analysis
- thresholding algorithm
- image segmentation
- reference images
- unsupervised segmentation
- image data
- segmented images
- input image
- accurate segmentation
- image database
- grey level
- ground truth
- automatically segmented
- image retrieval
- image regions
- fully automatic
- segmentation accuracy
- image slices
- three dimensional
- image features
- cell nuclei
- multiscale
- medical images
- microscopic images
- image segments
- piece wise
- segmentation errors
- region growing
- pixel level
- global shape
- microscopy images
- pixel wise
- tubular structures
- level set
- multiple objects
- image quality
- active contours
- medical imaging
- foreground and background
- connected component analysis
- bounding box
- probabilistic model