ants.deeplearn.cropping_and_padding_utilities

Functions

crop_image_center(image, crop_size)	Crop the center of an image.
crop_image_from_center_point(image, ...)	Crop a patch from an image around a center point
pad_image_by_factor(image, factor)	Pad an image based on a factor.
pad_or_crop_image_to_size(image, size)	Pad or crop an image to a specified size

crop_image_center(image, crop_size)

Crop the center of an image.

Parameters:

• image (ants.core.ANTsImage) – Input image

• crop_size (typing.Tuple) – Width, height, depth (if 3-D), and time (if 4-D) of crop region.

Return type:

ANTs image.

Example

>>> import ants
>>> image = ants.image_read(ants.get_ants_data('r16'))
>>> cropped_image = crop_image_center(image, crop_size=(64, 64))

crop_image_from_center_point(image, center_point, patch_size)

Crop a patch from an image around a center point

image: ANTsImage

Input image

center_point: tuple

Physical space coordinates of center point.

patch_size: tuple

List defining patch size.

pad_image_by_factor(image, factor)

Pad an image based on a factor.

Pad image of size (x, y, z) to (x’, y’, z’) where (x’, y’, z’) is a divisible by a user-specified factor.

Parameters:

• image (ants.core.ANTsImage) – Input image

• factor (scalar or typing.Tuple) – Padding factor

Return type:

ANTs image.

Example

>>> import ants
>>> image = ants.image_read(ants.get_ants_data('r16'))
>>> padded_image = pad_image_by_factor(image, factor=4)

pad_or_crop_image_to_size(image, size)

Pad or crop an image to a specified size

Parameters:

• image (ants.core.ANTsImage) – Input image

• size (tuple) – size of output image

Return type:

A cropped or padded image

Example

>>> import ants
>>> image = ants.image_read(ants.get_ants_data('r16'))
>>> padded_image = pad_or_crop_image_to_size(image, (333, 333))