High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery.
Daniel GlasnerTao HuJuan Nunez-IglesiasLou SchefferShan XuHarald F. HessRichard FetterDmitri B. ChklovskiiRonen BasriPublished in: EMMCVPR (2011)
Keyphrases
- high resolution
- low resolution
- depth map
- medical images
- super resolution
- quantitative measurements
- image segmentation
- imaging sensors
- image analysis
- spatial resolution
- low resolution depth
- segmentation method
- high quality
- segmentation algorithm
- high frequency
- image processing
- high spatial resolution
- region growing
- field of view
- magnetic resonance images
- medical imaging
- expectation maximisation
- remote sensing
- higher resolution
- multiscale
- depth information
- gray matter
- level set
- lower resolution
- depth images
- image resolution
- maximum likelihood
- tissue segmentation
- brain mr images
- high resolution video
- white matter
- expectation maximization
- low spatial resolution
- satellite images
- energy function
- highest resolution
- gaussian mixture model
- generative model
- super resolution algorithm
- cell nuclei
- edge detection
- object segmentation
- image reconstruction