SimpleITK  2.0.0rc1.post255
CSharp/ConnectedThresholdSegmentation.cs
/*=========================================================================
*
* 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
*
* http://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.
*
*=========================================================================*/
using System;
using System.Globalization;
using PixelId = itk.simple.PixelIDValueEnum;
using SitkImage = itk.simple.Image;
using sitk = itk.simple;
namespace itk.simple.examples
{
public class Program
{
static void Main(string[] args)
{
if (args.Length < 6)
{
Console.WriteLine("Missing Parameters ");
Console.WriteLine("Usage: " + System.AppDomain.CurrentDomain.FriendlyName +
" inputImage outputImage" +
" lowerThreshold upperThreshold seedX seedY [seed2X seed2Y ... ]");
return;
}
string inputFilename = args[0];
string outputFilename = args[1];
double lowerThreshold = double.Parse(args[2], CultureInfo.InvariantCulture);
double upperThreshold = double.Parse(args[3], CultureInfo.InvariantCulture);
//
// Read the image
//
SitkImage inputImage = SimpleITK.ReadImage(inputFilename, PixelIDValueEnum.sitkFloat32);
//
// Blur using CurvatureFlowImageFilter
//
CurvatureFlowImageFilter blurFilter = new sitk.CurvatureFlowImageFilter();
blurFilter.SetNumberOfIterations(5);
blurFilter.SetTimeStep(0.125);
inputImage = blurFilter.Execute(inputImage);
//
// Set up ConnectedThresholdImageFilter for segmentation
//
ConnectedThresholdImageFilter segmentationFilter = new sitk.ConnectedThresholdImageFilter();
segmentationFilter.SetLower(lowerThreshold);
segmentationFilter.SetUpper(upperThreshold);
segmentationFilter.SetReplaceValue(255);
for (uint i = 4; i + 1 < args.Length; i += 2)
{
VectorUInt32 seed = new VectorUInt32(new uint[] { Convert.ToUInt32(args[i]), Convert.ToUInt32(args[i + 1]), 0 });
segmentationFilter.AddSeed(seed);
Console.WriteLine("Adding a seed at: ");
for (int j = 0; j + 1 < seed.Count; j++)
{
Console.WriteLine(seed[j] + " ");
}
}
SitkImage outImage = segmentationFilter.Execute(inputImage);
//
// Write out the resulting file
//
SimpleITK.WriteImage(outImage, outputFilename);
return;
}
}
}
itk::simple::Image
The Image class for SimpleITK.
Definition: sitkImage.h:75
itk::simple::ConnectedThresholdImageFilter::SetLower
Self & SetLower(double Lower)
Definition: sitkConnectedThresholdImageFilter.h:75
itk::simple::PixelIDValueEnum
PixelIDValueEnum
Enumerated values of pixelIDs.
Definition: sitkPixelIDValues.h:90
itk::simple::CurvatureFlowImageFilter
Denoise an image using curvature driven flow.
Definition: sitkCurvatureFlowImageFilter.h:72
itk::simple::CurvatureFlowImageFilter::SetNumberOfIterations
Self & SetNumberOfIterations(uint32_t NumberOfIterations)
Definition: sitkCurvatureFlowImageFilter.h:99
itk::simple::ConnectedThresholdImageFilter
Label pixels that are connected to a seed and lie within a range of values.
Definition: sitkConnectedThresholdImageFilter.h:42
itk
itk::simple
Definition: sitkAdditionalProcedures.h:29