An Application of Deep Neural Networks for Segmentation of Microtomographic Images of Rock Samples.
Igor VarfolomeevIvan YakimchukIlia SafonovPublished in: Comput. (2019)
Keyphrases
- neural network
- segmentation method
- segmentation algorithm
- image analysis
- test images
- image regions
- image set
- accurate segmentation
- unsupervised segmentation
- microscopic images
- ground truth
- input image
- image database
- edge detection
- segmentation accuracy
- segmented images
- tubular structures
- image classification
- piece wise
- adaptive thresholding
- fully automatic
- pixel wise
- image features
- automatic segmentation
- segmentation errors
- pixel level
- three dimensional
- cardiac magnetic resonance
- image data
- object segmentation
- gray value
- grey level
- intensity images
- microscope images
- image segments
- low depth of field
- image slices
- cell nuclei
- microscopy images
- watershed segmentation
- image segmentation
- image registration
- sample images
- segmented regions
- intensity distribution
- brain mr images
- gray level images
- low contrast
- image pixels
- shape prior
- image segmentation algorithms
- image retrieval
- automatically segmented
- object recognition
- multiscale
- watershed transform