ITK  5.2.0
Insight Toolkit
SphinxExamples/src/Core/Common/CreateGaussianKernel/Code.py
1 #!/usr/bin/env python
2 
3 # Copyright NumFOCUS
4 #
5 # Licensed under the Apache License, Version 2.0 (the "License");
6 # you may not use this file except in compliance with the License.
7 # You may obtain a copy of the License at
8 #
9 # http://www.apache.org/licenses/LICENSE-2.0.txt
10 #
11 # Unless required by applicable law or agreed to in writing, software
12 # distributed under the License is distributed on an "AS IS" BASIS,
13 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 # See the License for the specific language governing permissions and
15 # limitations under the License.
16 
17 import itk
18 
19 gaussianOperator = itk.GaussianOperator[itk.F, 2]()
20 gaussianOperator.SetDirection(0) # Create the operator for the X axis derivative
21 radius = itk.Size[2]()
22 radius.Fill(1)
23 gaussianOperator.CreateToRadius(radius)
24 
25 print("Size: " + str(gaussianOperator.GetSize()))
26 
27 print(gaussianOperator)
28 
29 for i in range(9):
30  print(str(gaussianOperator.GetOffset(i)) + " " + str(gaussianOperator.GetElement(i)))
itk::Size
Represent a n-dimensional size (bounds) of a n-dimensional image.
Definition: itkSize.h:69
itk::GaussianOperator
A NeighborhoodOperator whose coefficients are a one dimensional, discrete Gaussian kernel.
Definition: itkGaussianOperator.h:69