pyvista.ImageDataFilters#

class ImageDataFilters(*args, **kwargs)[source]#

An internal class to manage filters/algorithms for uniform grid datasets.

Methods

`ImageDataFilters.contour_labeled`([n_labels, ...])	Generate labeled contours from 3D label maps.
`ImageDataFilters.extract_subset`(voi[, rate, ...])	Select piece (e.g., volume of interest).
`ImageDataFilters.fft`([output_scalars_name, ...])	Apply a fast Fourier transform (FFT) to the active scalars.
`ImageDataFilters.gaussian_smooth`([...])	Smooth the data with a Gaussian kernel.
`ImageDataFilters.high_pass`(x_cutoff, ...[, ...])	Perform a Butterworth high pass filter in the frequency domain.
`ImageDataFilters.image_dilate_erode`([...])	Dilates one value and erodes another.
`ImageDataFilters.image_threshold`(threshold)	Apply a threshold to scalar values in a uniform grid.
`ImageDataFilters.low_pass`(x_cutoff, ...[, ...])	Perform a Butterworth low pass filter in the frequency domain.
`ImageDataFilters.median_smooth`([...])	Smooth data using a median filter.
`ImageDataFilters.rfft`([output_scalars_name, ...])	Apply a reverse fast Fourier transform (RFFT) to the active scalars.