`nilearn.image`: Image Processing and Resampling Utilities¶

Mathematical operations working on Niimg-like objects.

Like, for example, a (3+)D block of data, and an affine.

Functions¶

`binarize_img`(img[, threshold, mask_img, ...])	Binarize an image such that its values are either 0 or 1.
`clean_img`(imgs[, runs, detrend, ...])	Improve SNR on masked fMRI signals.
`concat_imgs`(niimgs[, dtype, ensure_ndim, ...])	Concatenate a list of 3D/4D niimgs of varying lengths.
`coord_transform`(x, y, z, affine)	Convert the x, y, z coordinates from one image space to another space.
`copy_img`(img)	Copy an image to a nibabel.Nifti1Image.
`crop_img`(img[, rtol, copy, pad, ...])	Crops an image as much as possible.
`get_data`(img)	Get the image data as a `numpy.ndarray`.
`high_variance_confounds`(imgs[, n_confounds, ...])	Return confounds extracted from input signals with highest variance.
`index_img`(imgs, index)	Indexes into a 4D Niimg-like object in the fourth dimension.
`iter_img`(imgs)	Iterate over a 4D Niimg-like object in the fourth dimension.
`largest_connected_component_img`(imgs)	Return the largest connected component of an image or list of images.
`load_img`(img[, wildcards, dtype])	Load a Niimg-like object from filenames or list of filenames.
`math_img`(formula[, copy_header_from])	Interpret a numpy based string formula using niimg in named parameters.
`mean_img`(imgs[, target_affine, ...])	Compute the mean of the images over time or the 4th dimension.
`new_img_like`(ref_niimg, data[, affine, ...])	Create a new image of the same class as the reference image.
`resample_img`(img[, target_affine, ...])	Resample a Niimg-like object.
`resample_to_img`(source_img, target_img[, ...])	Resample a Niimg-like source image on a target Niimg-like image.
`reorder_img`(img[, resample, copy_header])	Return an image with the affine diagonal (by permuting axes).
`smooth_img`(imgs, fwhm)	Smooth images by applying a Gaussian filter.
`swap_img_hemispheres`(img)	Perform swapping of hemispheres in the indicated NIfTI image.
`threshold_img`(img, threshold[, ...])	Threshold the given input image, mostly statistical or atlas images.