Comparison of k-means related clustering methods for nuclear medicine images segmentation.
Damian BorysPawel BzowskiMarta Danch-WierzchowskaKrzysztof Psiuk-MaksymowiczPublished in: ICMV (2016)
Keyphrases
- segmentation method
- segmentation algorithm
- test images
- image regions
- image analysis
- k means
- image data
- input image
- segmented images
- gray level images
- edge detection
- image database
- accurate segmentation
- grey level
- unsupervised segmentation
- ground truth
- segmentation errors
- tubular structures
- pixel wise
- adaptive thresholding
- three dimensional
- region growing
- pixel level
- quantitative evaluation
- image segmentation
- fully automatic
- image retrieval
- image classification
- intensity images
- cardiac magnetic resonance
- image slices
- object recognition
- microscopic images
- microscopy images
- image registration
- segmentation accuracy
- image pixels
- region segmentation
- brain mr images
- outdoor scenes
- expectation maximization
- pigmented skin lesions
- bounding box
- brain tumors
- level set
- piece wise
- image segments
- image processing
- low depth of field