fluidimage.data_objects.tomo

Tomography data objects (fluidimage.data_objects.tomo)

class fluidimage.data_objects.tomo.ArrayTomoBase(xlims=(0, 10), ylims=(0, 10), zlims=(0, 5), nb_voxels=(10, 10, 5), image_path=None, params=None, h5file_path=None, dtype=<class 'numpy.float64'>)

Bases: object

Data structure to hold the tomographic data for a single instant.

describe(vmin=None, vmax=None)

Describe the voxel intensity array.

clear()

Reset intensities of all voxels as unity.

plot3d(threshold=0.5)

Display the reconstructed intensities as an Jupyter widget using ipyvolume.

class fluidimage.data_objects.tomo.ArrayTomo(*args, **kwargs)

Bases: ArrayTomoBase

A typical 3D meshgrid for tomographic reconstruction.

class fluidimage.data_objects.tomo.ArrayTomoCV(*args, **kwargs)

Bases: ArrayTomoBase

A flattened 3D array for tomographic reconstruction. This format is suitable for OpenCV based algorithms.

Classes

ArrayTomo(*args, **kwargs)	A typical 3D meshgrid for tomographic reconstruction.
ArrayTomoBase([xlims, ylims, zlims, ...])	Data structure to hold the tomographic data for a single instant.
ArrayTomoCV(*args, **kwargs)	A flattened 3D array for tomographic reconstruction.