ITK
6.0.0
Insight Toolkit
SphinxExamples/src/Core/Common/CreateGaussianKernel/Code.py
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#!/usr/bin/env python
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# Copyright NumFOCUS
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0.txt
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import
itk
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gaussianOperator =
itk.GaussianOperator
[itk.F, 2]()
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gaussianOperator.SetDirection(0)
# Create the operator for the X axis derivative
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radius =
itk.Size
[2]()
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radius.Fill(1)
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gaussianOperator.CreateToRadius(radius)
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print(
"Size: "
+ str(gaussianOperator.GetSize()))
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print(gaussianOperator)
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for
i
in
range(9):
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print(
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str(gaussianOperator.GetOffset(i)) +
" "
+ str(gaussianOperator.GetElement(i))
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)
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
Generated on
unknown
for ITK by
1.8.16