SphinxExamples/src/Filtering/Smoothing/MeanFilteringOfAnImage/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="Mean Filtering Of An Image.")
parser.add_argument("input_image")
parser.add_argument("output_image")
parser.add_argument("radius", type=int)
args = parser.parse_args()
 
PixelType = itk.UC
Dimension = 2
 
ImageType = itk.Image[PixelType, Dimension]
 
reader = itk.ImageFileReader[ImageType].New()
reader.SetFileName(args.input_image)
 
meanFilter = itk.MeanImageFilter[ImageType, ImageType].New()
meanFilter.SetInput(reader.GetOutput())
meanFilter.SetRadius(args.radius)
 
writer = itk.ImageFileWriter[ImageType].New()
writer.SetFileName(args.output_image)
writer.SetInput(meanFilter.GetOutput())
 
writer.Update()