Segmentation of digital rock images using deep convolutional autoencoder networks.
Sadegh KarimpouliPejman TahmasebiPublished in: Comput. Geosci. (2019)
Keyphrases
- segmentation algorithm
- image analysis
- segmentation method
- segmented images
- image data
- test images
- ground truth
- accurate segmentation
- image features
- input image
- adaptive thresholding
- fully automatic
- microscopic images
- edge detection
- microscopy images
- image database
- image regions
- image registration
- image retrieval
- piece wise
- segmentation errors
- three dimensional
- automatically segmented
- grey level
- cardiac magnetic resonance
- object recognition
- pixel level
- image segmentation
- image slices
- outdoor scenes
- segmentation accuracy
- tubular structures
- image classification
- image segmentation algorithms
- intensity images
- low depth of field
- level set
- digital imaging
- pixel wise
- bounding box
- multiple objects
- deep learning
- automatic segmentation
- unsupervised segmentation
- pigmented skin lesions
- multiscale
- medical images
- microscope images
- gray value
- intensity distribution
- image segments
- brain tumors
- restricted boltzmann machine
- energy function
- skin lesion
- watershed segmentation
- image segmentation algorithm