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
|
/*
* Copyright (C) 2005-2020 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* 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
*
* 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.
*/
/* Example usage:
./FilteringPipeline Input/QB_Suburb.png Output/TutorialsFilteringPipelineOutput.png
*/
//
// We are going to use the \doxygen{itk}{GradientMagnitudeImageFilter}
// to compute the gradient of the image. The beginning of the file is
// similar to the Pipeline.cxx.
//
// We include the required headers, without forgetting to add the header
// for the \doxygen{itk}{GradientMagnitudeImageFilter}.
#include "otbImage.h"
#include "otbImageFileReader.h"
#include "otbImageFileWriter.h"
#include "itkGradientMagnitudeImageFilter.h"
int main(int argc, char* argv[])
{
if (argc != 3)
{
std::cerr << "Usage: " << argv[0] << " <input_filename> <output_filename>" << std::endl;
}
// We declare the image type, the reader and the writer as
// before:
using ImageType = otb::Image<unsigned char, 2>;
using ReaderType = otb::ImageFileReader<ImageType>;
ReaderType::Pointer reader = ReaderType::New();
using WriterType = otb::ImageFileWriter<ImageType>;
WriterType::Pointer writer = WriterType::New();
reader->SetFileName(argv[1]);
writer->SetFileName(argv[2]);
// Now we have to declare the filter. It is templated with the
// input image type and the output image type like many filters
// in OTB. Here we are using the same type for the input and the
// output images:
using FilterType = itk::GradientMagnitudeImageFilter<ImageType, ImageType>;
FilterType::Pointer filter = FilterType::New();
// Let's plug the pipeline:
filter->SetInput(reader->GetOutput());
writer->SetInput(filter->GetOutput());
// And finally, we trigger the pipeline execution calling the \code{Update()}
// method on the writer
writer->Update();
return EXIT_SUCCESS;
}
|
