medpy.iterators.patchwise.CentredPatchIteratorOverlapping.assembleimage

static CentredPatchIteratorOverlapping.assembleimage(patches, pmasks, gridids)

Assemble an image from a number of patches, patch masks and their grid ids.

Parameters:

patches : sequence

Sequence of patches.

pmasks : sequence

Sequence of associated patch masks.

gridids

Sequence of associated grid ids.

Returns:

image : ndarray

The patches assembled back into an image of the original proportions.

Examples

Two-dimensional example: >>> import numpy >>> from medpy.iterators import CentredPatchIterator >>> arr = numpy.arange(0, 25).reshape((5,5)) >>> arr array([[ 0, 1, 2, 3, 4],

[ 5, 6, 7, 8, 9], [10, 11, 12, 13, 14], [15, 16, 17, 18, 19], [20, 21, 22, 23, 24]])

>>> patches, pmasks, gridids, _ = zip(*CentredPatchIterator(arr, 2))
>>> result = CentredPatchIterator.assembleimage(patches, pmasks, gridids)
>>> numpy.all(arr == result)
True

Five-dimensional example: >>> arr = numpy.random.randint(0, 10, range(5, 10)) >>> patches, pmasks, gridids, _ = zip(*CentredPatchIterator(arr, range(2, 7))) >>> result = CentredPatchIterator.assembleimage(patches, pmasks, gridids) >>> numpy.all(arr == result) True