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 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
*
* https://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 "itkNeighborhoodOperatorImageFunction.h"
#include "itkGaussianOperator.h"
#include "itkTestingMacros.h"
int
itkNeighborhoodOperatorImageFunctionTest(int, char *[])
{
constexpr unsigned int Dimension = 3;
using PixelType = float;
using ImageType = itk::Image<PixelType, Dimension>;
using NeighborhoodOperatorType = itk::GaussianOperator<PixelType, Dimension>;
using FunctionType = itk::NeighborhoodOperatorImageFunction<ImageType, PixelType>;
// Create and allocate the image
auto image = ImageType::New();
ImageType::SizeType size;
ImageType::IndexType start;
ImageType::RegionType region;
size[0] = 50;
size[1] = 50;
size[2] = 50;
start.Fill(0);
region.SetIndex(start);
region.SetSize(size);
image->SetRegions(region);
image->Allocate();
ImageType::PixelType initialValue = 27;
image->FillBuffer(initialValue);
auto function = FunctionType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(function, NeighborhoodOperatorImageFunction, ImageFunction);
function->SetInputImage(image);
NeighborhoodOperatorType oper;
oper.CreateToRadius(3);
function->SetOperator(oper);
itk::Index<3> index;
index.Fill(25);
FunctionType::OutputType Blur;
std::cout << "EvaluateAtIndex: ";
Blur = function->EvaluateAtIndex(index);
// since the input image is constant
// the should be equal to the initial value
if (itk::Math::abs(initialValue - Blur) > 10e-7)
{
std::cerr << "[FAILED] : Error in Blur computation" << std::endl;
return EXIT_FAILURE;
}
std::cout << "[PASSED] " << std::endl;
std::cout << "EvaluateAtContinuousIndex: ";
FunctionType::ContinuousIndexType continuousIndex;
continuousIndex.Fill(25);
function->EvaluateAtContinuousIndex(continuousIndex);
std::cout << "[PASSED] " << std::endl;
std::cout << "EvaluateAtPoint: ";
FunctionType::PointType point;
point[0] = 25;
point[1] = 25;
point[2] = 25;
function->Evaluate(point);
std::cout << "[PASSED] " << std::endl;
std::cout << function << std::endl;
std::cout << "Test finished." << std::endl;
return EXIT_SUCCESS;
}
|
