SphinxExamples/src/Filtering/ImageGrid/ResampleAScalarImage/Code.py

#!/usr/bin/env python
 
# Copyright NumFOCUS
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#        https://www.apache.org/licenses/LICENSE-2.0.txt
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
 
import itk
import argparse
 
parser = argparse.ArgumentParser(description="Resample A Scalar Image.")
parser.add_argument("input_image")
parser.add_argument("output_image")
parser.add_argument("size_x", type=int)
parser.add_argument("size_y", type=int)
args = parser.parse_args()
 
output_size = [args.size_x, args.size_y]
 
input_image = itk.imread(args.input_image)
 
input_spacing = itk.spacing(input_image)
input_size = itk.size(input_image)
dimension = input_image.GetImageDimension()
output_spacing = [
    input_spacing[dim] * input_size[dim] / output_size[dim] for dim in range(dimension)
]
 
transform = itk.IdentityTransform[itk.D, dimension].New()
 
output_image = itk.resample_image_filter(
    input_image,
    size=output_size,
    output_spacing=output_spacing,
    output_origin=itk.origin(input_image),
    transform=transform,
)
 
itk.imwrite(output_image, args.output_image)