Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
8.5.10. nilearn.image.largest_connected_component_img¶
- nilearn.image.largest_connected_component_img(imgs)[source]¶
- Return the largest connected component of an image or list of images. - New in version 0.3.1. - Parameters
- imgsNiimg-like object or iterable of Niimg-like objects (3D)
- Image(s) to extract the largest connected component from. See http://nilearn.github.io/manipulating_images/input_output.html. 
 
- Returns
- 3D Niimg-like object or list of
- Image or list of images containing the largest connected component. 
 
 - Notes - Handling big-endian in given Nifti image This function changes the existing byte-ordering information to new byte order, if the dtype in given Nifti image has non-native data type. This operation is done internally to avoid big-endian issues with scipy ndimage module. 
