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
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
|
/*=========================================================================
*
* 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.
*
*=========================================================================*/
#ifndef itkMovingHistogramImageFilterBase_hxx
#define itkMovingHistogramImageFilterBase_hxx
#include "itkImageRegionIteratorWithIndex.h"
#include "itkOffset.h"
#include "itkProgressReporter.h"
#include "itkNumericTraits.h"
#include "itkImageRegionIterator.h"
#include "itkImageLinearConstIteratorWithIndex.h"
namespace itk
{
template <typename TInputImage, typename TOutputImage, typename TKernel>
MovingHistogramImageFilterBase<TInputImage, TOutputImage, TKernel>::MovingHistogramImageFilterBase()
{
m_PixelsPerTranslation = 0;
// call again SetKernel in that class, to have the offsets computed for
// the default kernel. An AnalyzeKernel() method as in the binary
// morphology class may be a better way to go.
this->SetKernel(this->GetKernel());
}
template <typename TInputImage, typename TOutputImage, typename TKernel>
void
MovingHistogramImageFilterBase<TInputImage, TOutputImage, TKernel>::SetKernel(const KernelType & kernel)
{
// first, build the list of offsets of added and removed pixels when the
// structuring element move of 1 pixel on 1 axis; do it for the 2 directions
// on each axes.
// transform the structuring element in an image for an easier
// access to the data
using BoolImageType = Image<bool, TInputImage::ImageDimension>;
auto tmpSEImage = BoolImageType::New();
tmpSEImage->SetRegions(kernel.GetSize());
tmpSEImage->Allocate();
RegionType tmpSEImageRegion = tmpSEImage->GetRequestedRegion();
ImageRegionIteratorWithIndex<BoolImageType> kernelImageIt;
kernelImageIt = ImageRegionIteratorWithIndex<BoolImageType>(tmpSEImage, tmpSEImageRegion);
KernelIteratorType kernel_it = kernel.Begin();
OffsetListType kernelOffsets;
// create a center index to compute the offset
IndexType centerIndex;
for (unsigned int axis = 0; axis < ImageDimension; ++axis)
{
centerIndex[axis] = kernel.GetSize()[axis] / 2;
}
SizeValueType count = 0;
while (!kernelImageIt.IsAtEnd())
{
// TODO: be sure that removing that comparison doesn't break backward
// compatibility
// only to fix msvc warning C4804: '>' : unsafe use of type 'bool' in
// operation
// kernelImageIt.Set( *kernel_it > 0 );
//
kernelImageIt.Set(*kernel_it);
// if( *kernel_it > 0 )
if (*kernel_it)
{
kernelImageIt.Set(true);
kernelOffsets.push_front(kernelImageIt.GetIndex() - centerIndex);
++count;
}
else
{
kernelImageIt.Set(false);
}
++kernelImageIt;
++kernel_it;
}
// verify that the kernel contain at least one point
if (count == 0)
{
itkExceptionMacro("The kernel must contain at least one point.");
}
// no attribute should be modified before here to avoid setting the filter in
// a bad status
// store the kernel !!
Superclass::SetKernel(kernel);
// clear the already stored values
m_AddedOffsets.clear();
m_RemovedOffsets.clear();
// m_Axes
// store the kernel offset list
m_KernelOffsets = kernelOffsets;
FixedArray<SizeValueType, ImageDimension> axisCount;
axisCount.Fill(0);
for (unsigned int axis = 0; axis < ImageDimension; ++axis)
{
OffsetType refOffset;
refOffset.Fill(0);
for (int direction = -1; direction <= 1; direction += 2)
{
refOffset[axis] = direction;
for (kernelImageIt.GoToBegin(); !kernelImageIt.IsAtEnd(); ++kernelImageIt)
{
IndexType idx = kernelImageIt.GetIndex();
if (kernelImageIt.Get())
{
// search for added pixel during a translation
IndexType nextIdx = idx + refOffset;
if (tmpSEImageRegion.IsInside(nextIdx))
{
if (!tmpSEImage->GetPixel(nextIdx))
{
m_AddedOffsets[refOffset].push_front(nextIdx - centerIndex);
axisCount[axis]++;
}
}
else
{
m_AddedOffsets[refOffset].push_front(nextIdx - centerIndex);
axisCount[axis]++;
}
// search for removed pixel during a translation
IndexType prevIdx = idx - refOffset;
if (tmpSEImageRegion.IsInside(prevIdx))
{
if (!tmpSEImage->GetPixel(prevIdx))
{
m_RemovedOffsets[refOffset].push_front(idx - centerIndex);
axisCount[axis]++;
}
}
else
{
m_RemovedOffsets[refOffset].push_front(idx - centerIndex);
axisCount[axis]++;
}
}
}
}
}
// search for the best axis
using MapCountType = typename std::set<DirectionCost>;
MapCountType invertedCount;
unsigned int i;
for (i = 0; i < ImageDimension; ++i)
{
invertedCount.insert(DirectionCost(i, axisCount[i]));
}
i = 0;
for (auto it = invertedCount.begin(); it != invertedCount.end(); it++, i++)
{
m_Axes[i] = it->m_Dimension;
}
m_PixelsPerTranslation = axisCount[m_Axes[ImageDimension - 1]] / 2; //
// divided
// by 2
// because
// there
// is 2
// directions
// on the
// axis
}
template <typename TInputImage, typename TOutputImage, typename TKernel>
void
MovingHistogramImageFilterBase<TInputImage, TOutputImage, TKernel>::GetDirAndOffset(const IndexType LineStart,
const IndexType PrevLineStart,
OffsetType & LineOffset,
OffsetType & Changes,
int & LineDirection)
{
// when moving between lines in the same plane there should be only
// 1 non zero (positive) entry in LineOffset.
// When moving between planes there will be some negative ones too.
LineOffset = Changes = LineStart - PrevLineStart;
for (unsigned int y = 0; y < ImageDimension; ++y)
{
if (LineOffset[y] > 0)
{
LineOffset[y] = 1; // should be 1 anyway
LineDirection = y;
}
else
{
LineOffset[y] = 0;
}
}
}
template <typename TInputImage, typename TOutputImage, typename TKernel>
void
MovingHistogramImageFilterBase<TInputImage, TOutputImage, TKernel>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "PixelsPerTranslation: " << m_PixelsPerTranslation << std::endl;
}
} // end namespace itk
#endif
|
