SimpleITK  
Python/CannyEdge.py
1 #!/usr/bin/env python
2 # =========================================================================
3 #
4 # Copyright NumFOCUS
5 #
6 # Licensed under the Apache License, Version 2.0 (the "License");
7 # you may not use this file except in compliance with the License.
8 # You may obtain a copy of the License at
9 #
10 # http://www.apache.org/licenses/LICENSE-2.0.txt
11 #
12 # Unless required by applicable law or agreed to in writing, software
13 # distributed under the License is distributed on an "AS IS" BASIS,
14 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
15 # See the License for the specific language governing permissions and
16 # limitations under the License.
17 #
18 # =========================================================================
19 
20 
21 import SimpleITK as sitk
22 import sys
23 import os
24 
25 if len(sys.argv) < 2:
26  print("Usage: %s <input>" % (sys.argv[0]))
27  sys.exit(1)
28 
29 image = sitk.Cast(sitk.ReadImage(sys.argv[1]), sitk.sitkFloat32)
30 
32  image, lowerThreshold=200, upperThreshold=400, variance=[4] * 3
33 )
34 
36 stats.Execute(image)
37 
38 if "SITK_NOSHOW" not in os.environ:
39  sitk.Show(sitk.Maximum(image * 0.5, edges * stats.GetMaximum() * 0.5))
itk::simple::StatisticsImageFilter
Compute min, max, variance and mean of an Image .
Definition: sitkStatisticsImageFilter.h:45
itk::simple::Show
void SITKIO_EXPORT Show(const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug())
itk::simple::ReadImage
SITKIO_EXPORT Image ReadImage(const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="")
ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image...
itk::simple::Cast
Image Cast(const Image &image, PixelIDValueEnum pixelID)
itk::simple::Maximum
Image Maximum(double constant, const Image &image2)
itk::simple::CannyEdgeDetection
Image CannyEdgeDetection(const Image &image1, double lowerThreshold=0.0, double upperThreshold=0.0, std::vector< double > variance=std::vector< double >(3, 0.0), std::vector< double > maximumError=std::vector< double >(3, 0.01))
This filter is an implementation of a Canny edge detector for scalar-valued images.