annotate OrthancStone/UnitTestsSources/ImageToolboxTests.cpp @ 1951:060d61913e39 deep-learning

deep learning in steps
author Sebastien Jodogne <s.jodogne@gmail.com>
date Fri, 12 Aug 2022 21:49:37 +0200
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children 07964689cb0b
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1 /**
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2 * Stone of Orthanc
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3 * Copyright (C) 2012-2016 Sebastien Jodogne, Medical Physics
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4 * Department, University Hospital of Liege, Belgium
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5 * Copyright (C) 2017-2022 Osimis S.A., Belgium
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6 * Copyright (C) 2021-2022 Sebastien Jodogne, ICTEAM UCLouvain, Belgium
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7 *
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8 * This program is free software: you can redistribute it and/or
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9 * modify it under the terms of the GNU Lesser General Public License
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10 * as published by the Free Software Foundation, either version 3 of
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11 * the License, or (at your option) any later version.
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12 *
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13 * This program is distributed in the hope that it will be useful, but
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14 * WITHOUT ANY WARRANTY; without even the implied warranty of
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15 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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16 * Lesser General Public License for more details.
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17 *
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18 * You should have received a copy of the GNU Lesser General Public
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19 * License along with this program. If not, see
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20 * <http://www.gnu.org/licenses/>.
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21 **/
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22
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24 #include "../Sources/Toolbox/ImageToolbox.h"
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26 // #include <boost/chrono.hpp>
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27 // #include <boost/lexical_cast.hpp>
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28
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29 #include <Compatibility.h>
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30 #include <Images/Image.h>
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31 #include <Images/PixelTraits.h>
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33 #include "stdint.h"
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34
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35 #include <gtest/gtest.h>
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37 #include <cmath>
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40 TEST(ImageToolbox, SimpleHisto_Grayscale8_BinSize1)
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41 {
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42 using OrthancStone::HistogramData;
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43 using OrthancStone::DumpHistogramResult;
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44 using OrthancStone::ComputeHistogram;
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45
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46 const unsigned int W = 16;
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47 const unsigned int H = 16;
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48
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49 // 256/17 = 15,...
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50 // 256 % 17 = 1
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51 // 0 will be 16 times
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52 // 1 will be 15 times
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53 // 2 will be 15 times
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54 // ...
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55 // 16 will be 15 times
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56
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57 size_t pixCounter = 0;
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58
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59 std::unique_ptr<Orthanc::Image> image(new Orthanc::Image(
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60 Orthanc::PixelFormat_Grayscale8, W, H, false));
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61
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62 for (unsigned int y = 0; y < H; ++y)
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63 {
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64 uint8_t* buffer = reinterpret_cast<uint8_t*>(image->GetRow(y));
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65 for (unsigned int x = 0; x < W; ++x, ++buffer, ++pixCounter)
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66 {
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67 *buffer = static_cast<uint8_t>(pixCounter % 17);
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68 }
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69 }
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70
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71 HistogramData hd;
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72 ComputeHistogram(*image, hd, 1);
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73 ASSERT_EQ(-0.5, hd.minValue);
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74 ASSERT_EQ(17u, hd.bins.size());
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75 ASSERT_EQ(16u, hd.bins[0]);
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76 for (size_t i = 1; i < hd.bins.size(); ++i)
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77 ASSERT_EQ(15u, hd.bins[i]);
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78 }
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79
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80 TEST(ImageToolbox, SimpleHisto_Grayscale8_BinSize1_FormatString)
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81 {
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82 using OrthancStone::HistogramData;
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83 using OrthancStone::DumpHistogramResult;
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84 using OrthancStone::ComputeHistogram;
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85
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86 const unsigned int W = 16;
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87 const unsigned int H = 16;
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88
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89 // 256/17 = 15,...
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90 // 256 % 17 = 1
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91 // 0 will be 16 times
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92 // 1 will be 15 times
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93 // 2 will be 15 times
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94 // ...
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95 // 16 will be 15 times
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96
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97 size_t pixCounter = 0;
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98
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99 std::unique_ptr<Orthanc::Image> image(new Orthanc::Image(
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100 Orthanc::PixelFormat_Grayscale8, W, H, false));
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101
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102 for (unsigned int y = 0; y < H; ++y)
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103 {
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104 uint8_t* buffer = reinterpret_cast<uint8_t*>(image->GetRow(y));
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105 for (unsigned int x = 0; x < W; ++x, ++buffer, ++pixCounter)
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106 {
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107 *buffer = static_cast<uint8_t>(pixCounter % 17);
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108 }
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109 }
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110
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111 HistogramData hd;
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112 ComputeHistogram(*image, hd, 1);
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113
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114 // void DumpHistogramResult(std::string& s, const HistogramData& hd)
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115 std::string s;
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116 DumpHistogramResult(s, hd);
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117 std::cout << s;
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118 }
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119
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120 template<Orthanc::PixelFormat Format>
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121 void SimpleHisto_T_BinSize1_2()
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122 {
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123 using OrthancStone::HistogramData;
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124 using OrthancStone::DumpHistogramResult;
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125 using OrthancStone::ComputeHistogram;
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126
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127 const unsigned int W = 16;
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128 const unsigned int H = 16;
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129
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130 // 256/17 = 15,...
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131 // 256 % 17 = 1
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132 // 0 will be 16 times
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133 // 1 will be 15 times
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134 // 2 will be 15 times
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135 // ...
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136 // 16 will be 15 times
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137
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138 size_t pixCounter = 0;
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139
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140 std::unique_ptr<Orthanc::Image> image(new Orthanc::Image(
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141 Format, W, H, false));
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142
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143 typedef typename Orthanc::PixelTraits<Format>::PixelType PixelType;
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144
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145 PixelType pixValue = 0;
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146
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147 for (unsigned int y = 0; y < H; ++y)
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148 {
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149 PixelType* buffer = reinterpret_cast<PixelType*>(image->GetRow(y));
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150 for (unsigned int x = 0; x < W; ++x, ++buffer, ++pixCounter)
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151 {
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152 // 0..99 0..99 0..55
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153 *buffer = pixValue;
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154 pixValue++;
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155 if (pixValue >= 100)
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156 pixValue = 0;
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157 }
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158 }
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159
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160 HistogramData hd;
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161 ComputeHistogram(*image, hd, 1);
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162 ASSERT_EQ(-0.5, hd.minValue);
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163 ASSERT_EQ(100u, hd.bins.size());
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164 for (size_t i = 0; i <= 55; ++i)
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165 ASSERT_EQ(3u, hd.bins[i]);
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166 for (size_t i = 56; i <= 99; ++i)
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167 ASSERT_EQ(2u, hd.bins[i]);
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168 }
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169
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170 TEST(ImageToolbox, SimpleHisto_Grayscale8_BinSize1_2)
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171 {
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172 SimpleHisto_T_BinSize1_2<Orthanc::PixelFormat_Grayscale8>();
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173 }
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174
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175 TEST(ImageToolbox, SimpleHisto_Grayscale16_BinSize1_2)
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176 {
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177 SimpleHisto_T_BinSize1_2<Orthanc::PixelFormat_Grayscale16>();
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178 }
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179
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180 TEST(ImageToolbox, SimpleHisto_SignedGrayscale16_BinSize1_2)
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181 {
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182 SimpleHisto_T_BinSize1_2<Orthanc::PixelFormat_SignedGrayscale16>();
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183 }
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184
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185 TEST(ImageToolbox, SimpleHisto_Grayscale32_BinSize1_2)
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186 {
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187 SimpleHisto_T_BinSize1_2<Orthanc::PixelFormat_Grayscale32>();
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188 }
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189
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190 template<Orthanc::PixelFormat Format>
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191 void SimpleHisto_T_BinSize10_2()
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192 {
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193 using OrthancStone::HistogramData;
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194 using OrthancStone::DumpHistogramResult;
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195 using OrthancStone::ComputeHistogram;
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196
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197 const unsigned int W = 16;
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198 const unsigned int H = 16;
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199
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200 // 256/17 = 15,...
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201 // 256 % 17 = 1
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202 // 0 will be 16 times
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203 // 1 will be 15 times
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204 // 2 will be 15 times
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205 // ...
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206 // 16 will be 15 times
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207
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208 size_t pixCounter = 0;
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209
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210 std::unique_ptr<Orthanc::Image> image(new Orthanc::Image(
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211 Format, W, H, false));
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212
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213 typedef typename Orthanc::PixelTraits<Format>::PixelType PixelType;
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214
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215 PixelType pixValue = 0;
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216
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217 for (unsigned int y = 0; y < H; ++y)
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218 {
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219 PixelType* buffer = reinterpret_cast<PixelType*>(image->GetRow(y));
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220 for (unsigned int x = 0; x < W; ++x, ++buffer, ++pixCounter)
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221 {
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222 // 0..99 0..99 0..55
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223 *buffer = pixValue;
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224 pixValue++;
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225 if (pixValue >= 100)
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226 pixValue = 0;
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227 }
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228 }
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229
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230 HistogramData hd;
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231 ComputeHistogram(*image, hd, 10);
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232 ASSERT_EQ(-0.5, hd.minValue);
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233 ASSERT_EQ(10u, hd.bins.size());
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234
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235 for (size_t i = 0; i <= 4; ++i)
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236 ASSERT_EQ(30u, hd.bins[i]);
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237
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238 ASSERT_EQ(26u, hd.bins[5]);
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239
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240 for (size_t i = 6; i <= 9; ++i)
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241 ASSERT_EQ(20u, hd.bins[i]);
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242 }
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243
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244 TEST(ImageToolbox, SimpleHisto_Grayscale8_BinSize10_2)
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245 {
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246 SimpleHisto_T_BinSize10_2<Orthanc::PixelFormat_Grayscale8>();
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247 }
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248
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249 TEST(ImageToolbox, SimpleHisto_Grayscale16_BinSize10_2)
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250 {
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251 SimpleHisto_T_BinSize10_2<Orthanc::PixelFormat_Grayscale16>();
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252 }
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253
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254 TEST(ImageToolbox, SimpleHisto_SignedGrayscale16_BinSize10_2)
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255 {
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256 SimpleHisto_T_BinSize10_2<Orthanc::PixelFormat_SignedGrayscale16>();
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257 }
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258
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259 TEST(ImageToolbox, SimpleHisto_Grayscale32_BinSize10_2)
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260 {
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261 SimpleHisto_T_BinSize10_2<Orthanc::PixelFormat_Grayscale32>();
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262 }
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263