Toward Robust Fully 3D Filopodium Segmentation and Tracking in Time-Lapse Fluorescence Microscopy.
Martin MaskaTereza NecasováDavid WiesnerDmitry V. SorokinIgor PeterlíkVladimír UlmanDavid SvobodaPublished in: ICIP (2019)
Keyphrases
- fluorescence microscopy
- phase contrast
- moving object extraction
- motion segmentation
- accurate localization
- cluttered background
- multiple cues
- microscopy images
- partial occlusion
- occlusion detection
- robust segmentation
- ellipse fitting
- image sequences
- automatic initialization
- orientation estimation
- robust tracking
- automatic tracking
- real time
- object tracking algorithm
- machine learning
- segmentation algorithm
- level set
- image segmentation
- object tracking
- multiple objects
- particle filter
- complex background
- cell segmentation
- object segmentation
- visual tracking
- multibody
- tracking framework
- multiscale
- three dimensional
- foreground background segmentation
- optical flow
- segmentation method
- computer vision
- occlusion reasoning
- motion estimation
- cluttered environments
- medical imaging
- background subtraction
- segmentation accuracy
- pixel level