Graph cut and image intensity-based splitting improves nuclei segmentation in high-content screening.
Muhammad FarhanPekka RuusuvuoriMario EmmenlauerPauli RämöOlli Yli-HarjaChristoph DehioPublished in: Image Processing: Algorithms and Systems (2013)
Keyphrases
- graph cuts
- energy function
- segmentation algorithm
- image segmentation
- segmentation method
- shape prior
- foreground background segmentation
- object segmentation
- microscopic images
- labeling problems
- spatial coherence
- energy minimization
- markov random field
- multiscale
- automatic segmentation
- input image
- segmentation accuracy
- interactive image segmentation
- geodesic active contours
- graph cut segmentation
- min cut
- superpixels
- image regions
- image analysis
- region growing
- interactive segmentation
- segmented images
- graph based image segmentation
- graph cut optimization
- pixel level
- image pixels
- edge detection
- microscopy images
- image segmentation algorithm
- chan vese
- medical images
- level set
- spatial smoothness
- active contours
- motion estimation
- single image
- mean shift
- test images
- background subtraction
- foreground and background
- energy functional
- image features
- bayesian framework
- minimal surface
- semantic segmentation
- segmentation result