How to¶
The following notebooks are illustrated “how-to”, presenting a more advance usage of the methods and algorithms to achieve complex tasks such as cell segmentation or temporal registration.
- How to organize and reference your data
- How-to performs manual 3D registration of intensity images
- How to performs cell based segmentation with the watershed algorithm
- How to create an intensity image from a segmentation
- Manual landmarks definition using intensity projections and altitude maps
- Multi-angle fusion on reference image (non-iterative)
- Get the shared multi-angle intensity images
- Load the multi-angle images:
- Down-sample the images to speed-up the computations
- Intensity projections for multi-angle images
- Initialisation using manually defined landmarks
- Fusion on reference image
- Combine the reference and transformed images with specified fusion method:
- Centering the mean image in the reference frame:
- How to - Iterative multi-angle images fusion
- How to register a temporal sequence of intensity images
- How to perform intensity image registration with manual initialisation.
- Image averaging with VT
- VT - How to work with transformations
- Usage examples of VT tools
- Blockmatching example with
vt-python
- VT-Python - Memory management