1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111
|
/*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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.
*
*=========================================================================*/
#include <iostream>
#include "itkImageRegionIterator.h"
#include "itkBinaryThresholdImageFunction.h"
int itkBinaryThresholdImageFunctionTest(int, char* [] )
{
std::cout << "itkBinaryThresholdImageFunctionTest Start" << std::endl;
typedef itk::Image<float,3> FloatImage;
FloatImage::Pointer image = FloatImage::New();
FloatImage::RegionType region;
FloatImage::SizeType size; size.Fill(64);
FloatImage::IndexType index; index.Fill(0);
region.SetIndex (index);
region.SetSize (size);
image->SetRegions( region );
image->Allocate(true); // initialize buffer to zero
for (unsigned int i = 0; i < FloatImage::ImageDimension; i++)
{
size[i] -= 20;
index[i] += 10;
}
region.SetIndex (index);
region.SetSize (size);
itk::ImageRegionIterator<FloatImage> it(image,region);
while (!it.IsAtEnd())
{
it.Set(100.0);
++it;
}
// Try the function inside and outside the region
typedef itk::BinaryThresholdImageFunction<FloatImage> ImageFunction;
ImageFunction::Pointer threshold = ImageFunction::New();
ImageFunction::PointType point;
ImageFunction::ContinuousIndexType continuousIndex;
threshold->SetInputImage(image);
threshold->ThresholdBelow (100.0);
index[0] = 11; index[1] = 11; index[2] = 11;
int failed = 0;
if (!threshold->EvaluateAtIndex(index)) failed++;
threshold->ThresholdAbove (100.0);
if (!threshold->EvaluateAtIndex(index)) failed++;
threshold->ThresholdAbove (101.0);
if (threshold->EvaluateAtIndex(index)) failed++;
threshold->ThresholdBetween (100.0,100.0);
if (!threshold->EvaluateAtIndex(index)) failed++;
threshold->ThresholdBetween (-100.0,0.0);
if (threshold->EvaluateAtIndex(index)) failed++;
index[0] = 8; index[1] = 8; index[2] = 8;
threshold->ThresholdBetween (100.0,200.0);
if (threshold->EvaluateAtIndex(index)) failed++;
std::cout << threshold;
// Test Evaluate
point[0] = 5; point[1] = 5; point[2] = 5;
threshold->Evaluate(point);
// Test EvaluateAtContinuousIndex
continuousIndex[0] = 9;
continuousIndex[1] = 9;
continuousIndex[2] = 9;
threshold->EvaluateAtContinuousIndex(continuousIndex);
if (failed)
{
std::cout << "Failed!" << std::endl;
return EXIT_FAILURE;
}
else
{
std::cout << "Passed!" << std::endl;
}
return EXIT_SUCCESS;
}
|