Model-based graph segmentation in 2-D fluorescence microsecopy images.
Arnaud AbreuFrançois-Xavier FrenoisS. ValituttiPierre BroussetPatrice DenéfleBenoît NaegelCédric WemmertPublished in: ICPR (2018)
Keyphrases
- image analysis
- segmentation algorithm
- segmentation method
- microscope images
- three dimensional
- ground truth
- segmentation accuracy
- test images
- image data
- segmented images
- adaptive thresholding
- image segmentation
- segmentation errors
- fully automatic
- input image
- microscopic images
- image database
- image regions
- image retrieval
- segmented regions
- unsupervised segmentation
- edge detection
- image features
- pixel level
- image slices
- tubular structures
- fully unsupervised
- accurate segmentation
- pixel wise
- object recognition
- outdoor scenes
- gray value
- multiscale
- image registration
- multiple objects
- watershed transform
- piece wise
- region growing
- low depth of field
- image segments
- level set
- intensity images
- object segmentation
- microscopy images
- image segmentation algorithms
- medical images
- computer vision
- optical properties
- fluorescence microscopy
- confocal microscopy
- region segmentation
- grey level