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- nilearn.masking.intersect_masks(mask_imgs, threshold=0.5, connected=True)[source]#
Compute intersection of several masks.
Given a list of input mask images, generate the output image which is the threshold-level intersection of the inputs.
listof Niimg-like objects
See Input and output: neuroimaging data representation. 3D individual masks with same shape and affine.
Gives the level of the intersection, must be within [0, 1]. threshold=1 corresponds to keeping the intersection of all masks, whereas threshold=0 is the union of all masks. Default=0.5.
If connected is True, only the largest connect component is kept. Default=True.
Intersection of all masks.