Segmentation of gastroenterology images: A comparison between clustering and fitting models approaches.
Farhan RiazPedro Pimentel-NunesMário Dinis-RibeiroMiguel Tavares CoimbraPublished in: CBMS (2013)
Keyphrases
- parametric models
- segmentation method
- image segmentations
- segmentation algorithm
- image segmentation algorithms
- image analysis
- input image
- image data
- segmented images
- quantitative evaluation
- large scale data sets
- ground truth
- test images
- edge detection
- three dimensional
- image regions
- image segmentation
- image database
- grey level
- adaptive thresholding
- segmentation errors
- k means
- random fields
- image retrieval
- fundamental problems in computer vision
- accurate segmentation
- unsupervised segmentation
- multiple objects
- fully automatic
- image features
- global shape
- automatically segmented
- image registration
- positron emission tomography
- microscopic images
- discriminative classifiers
- pixel level
- pixel wise
- segmentation accuracy
- parameter estimation
- model fitting
- intensity inhomogeneity
- cell nuclei
- foreground and background
- microscopy images
- image sequences
- automatic segmentation
- object recognition
- bounding box
- tubular structures
- multiscale
- region growing
- image segmentation algorithm
- object segmentation