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
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: CannyEdgeDetectionImageFilter.cxx
Language: C++
Date: $Date$
Version: $Revision$
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
#ifdef __BORLANDC__
#define ITK_LEAN_AND_MEAN
#endif
// Software Guide : BeginLatex
//
// This example introduces the use of the
// \doxygen{CannyEdgeDetectionImageFilter}. This filter is widely used for
// edge detection since it is the optimal solution satisfying the constraints
// of good sensitivity, localization and noise robustness.
//
// \index{itk::CannyEdgeDetectionImageFilter|textbf}
//
// Software Guide : EndLatex
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkCastImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"
// Software Guide : BeginLatex
//
// The first step required for using this filter is to include its header file
//
// \index{itk::CannyEdgeDetectionImageFilter!header}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
#include "itkCannyEdgeDetectionImageFilter.h"
// Software Guide : EndCodeSnippet
int main(int argc, char* argv[])
{
if( argc < 3 )
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " inputImage outputImage [variance upperThreshold lowerThreshold]" << std::endl;
return EXIT_FAILURE;
}
const char * inputFilename = argv[1];
const char * outputFilename = argv[2];
float variance = 2.0;
float upperThreshold = 0.0;
float lowerThreshold = 0.0;
if( argc > 3 )
{
variance = atof( argv[3] );
}
if( argc > 4 )
{
upperThreshold = atof( argv[4] );
}
if( argc > 5 )
{
lowerThreshold = atof( argv[5] );
}
std::cout << "Variance = " << variance << std::endl;
std::cout << "UpperThreshold = " << upperThreshold << std::endl;
std::cout << "LowerThreshold = " << lowerThreshold << std::endl;
typedef unsigned char CharPixelType; // IO
typedef double RealPixelType; // Operations
const unsigned int Dimension = 2;
typedef itk::Image<CharPixelType, Dimension> CharImageType;
typedef itk::Image<RealPixelType, Dimension> RealImageType;
typedef itk::ImageFileReader< CharImageType > ReaderType;
typedef itk::ImageFileWriter< CharImageType > WriterType;
// Software Guide : BeginLatex
//
// This filter operates on image of pixel type float. It is then necessary
// to cast the type of the input images that are usually of integer type.
// The \doxygen{CastImageFilter} is used here for that purpose. Its image
// template parameters are defined for casting from the input type to the
// float type using for processing.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef itk::CastImageFilter< CharImageType, RealImageType> CastToRealFilterType;
// Software Guide : EndCodeSnippet
typedef itk::RescaleIntensityImageFilter<RealImageType, CharImageType > RescaleFilter;
// Software Guide : BeginLatex
//
// The \doxygen{CannyEdgeDetectionImageFilter} is instantiated using the float image type.
//
// \index{itk::CannyEdgeDetectionImageFilter|textbf}
//
// Software Guide : EndLatex
typedef itk::CannyEdgeDetectionImageFilter<RealImageType, RealImageType> CannyFilter;
//Setting the IO
ReaderType::Pointer reader = ReaderType::New();
WriterType::Pointer writer = WriterType::New();
CastToRealFilterType::Pointer toReal = CastToRealFilterType::New();
RescaleFilter::Pointer rescale = RescaleFilter::New();
//Setting the ITK pipeline filter
CannyFilter::Pointer cannyFilter = CannyFilter::New();
reader->SetFileName( inputFilename );
writer->SetFileName( outputFilename );
//The output of an edge filter is 0 or 1
rescale->SetOutputMinimum( 0 );
rescale->SetOutputMaximum( 255 );
toReal->SetInput( reader->GetOutput() );
cannyFilter->SetInput( toReal->GetOutput() );
cannyFilter->SetVariance( variance );
cannyFilter->SetUpperThreshold( upperThreshold );
cannyFilter->SetLowerThreshold( lowerThreshold );
rescale->SetInput( cannyFilter->GetOutput() );
writer->SetInput( rescale->GetOutput() );
try
{
writer->Update();
}
catch( itk::ExceptionObject & err )
{
std::cout << "ExceptionObject caught !" << std::endl;
std::cout << err << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
|
