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
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkIsolatedWatershedImageFilterTest.cxx,v $
Language: C++
Date: $Date: 2007-08-20 12:47:12 $
Version: $Revision: 1.2 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4786 )
#endif
#include <fstream>
#include "itkIsolatedWatershedImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkImageRegionIterator.h"
#include "itkNumericTraits.h"
int itkIsolatedWatershedImageFilterTest(int ac, char* av[] )
{
if(ac < 7)
{
std::cerr << "Usage: " << av[0] << " InputImage OutputImage seed1_x seed1_y seed2_x seed2_y\n";
return EXIT_FAILURE;
}
typedef unsigned char PixelType;
typedef itk::Image<PixelType, 2> myImage;
itk::ImageFileReader<myImage>::Pointer input
= itk::ImageFileReader<myImage>::New();
input->SetFileName(av[1]);
// Create a filter
typedef itk::IsolatedWatershedImageFilter<myImage,myImage> FilterType;
FilterType::Pointer filter = FilterType::New();
filter->SetInput(input->GetOutput());
FilterType::IndexType seed1;
seed1[0] = atoi(av[3]); seed1[1] = atoi(av[4]);
filter->SetSeed1(seed1);
seed1[0] = atoi(av[5]); seed1[1] = atoi(av[6]);
filter->SetSeed2(seed1);
filter->SetThreshold(0.001);
filter->SetReplaceValue1(255);
filter->SetReplaceValue2(127);
filter->SetUpperValueLimit(1);
// Test SetMacro
filter->SetIsolatedValueTolerance(.0001);
// Test GetMacros
double threshold = filter->GetThreshold();
std::cout << "filter->GetThreshold(): "
<< threshold
<< std::endl;
double isolatedValueTolerance = filter->GetIsolatedValueTolerance();
std::cout << "filter->GetIsolatedValueTolerance(): "
<< isolatedValueTolerance
<< std::endl;
double upperValueLimit = filter->GetUpperValueLimit();
std::cout << "filter->GetUpperValueLimit(): "
<< upperValueLimit
<< std::endl;
PixelType replaceValue1 = filter->GetReplaceValue1();
std::cout << "filter->GetReplaceValue1(): "
<< static_cast<itk::NumericTraits<PixelType>::PrintType>(replaceValue1)
<< std::endl;
PixelType replaceValue2 = filter->GetReplaceValue2();
std::cout << "filter->GetReplaceValue2(): "
<< static_cast<itk::NumericTraits<PixelType>::PrintType>(replaceValue2)
<< std::endl;
try
{
input->Update();
filter->Update();
double isolatedValue = filter->GetIsolatedValue();
std::cout << "filter->GetIsolatedValue(): "
<< isolatedValue
<< std::endl;
}
catch (itk::ExceptionObject& e)
{
std::cerr << "Exception detected: " << e.GetDescription();
return EXIT_FAILURE;
}
// Generate test image
itk::ImageFileWriter<myImage>::Pointer writer;
writer = itk::ImageFileWriter<myImage>::New();
writer->SetInput( filter->GetOutput() );
writer->SetFileName( av[2] );
writer->Update();
return EXIT_SUCCESS;
}
|
