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| 1 | +#include "correction.h" |
| 2 | + |
| 3 | +#include "image_proc.h" |
| 4 | +using namespace ipo; |
| 5 | +//===========PIMPL (FlatFieldCorrection)=========== |
| 6 | +FlatFieldCorrection::FlatFieldCorrection() : p_pimplFlatFieldCorrection(new PimplFlatFieldCorrection) {} |
| 7 | +FlatFieldCorrection::~FlatFieldCorrection() {} |
| 8 | +int FlatFieldCorrection::SetDarkAndBrightFieldImage(const cv::Mat &dark_field_img, |
| 9 | + const cv::Mat &bright_field_img, |
| 10 | + const int &mean_pixel_value) { |
| 11 | + return p_pimplFlatFieldCorrection->SetDarkAndBrightFieldImage(dark_field_img, bright_field_img, mean_pixel_value); |
| 12 | +} |
| 13 | + |
| 14 | +cv::Mat FlatFieldCorrection::GetResult(const cv::Mat &src) { |
| 15 | + return p_pimplFlatFieldCorrection->GetResult(src); |
| 16 | +} |
| 17 | +//=========== |
| 18 | + |
| 19 | +FlatFieldCorrection::PimplFlatFieldCorrection::PimplFlatFieldCorrection() {} |
| 20 | +FlatFieldCorrection::PimplFlatFieldCorrection::~PimplFlatFieldCorrection() {} |
| 21 | +int FlatFieldCorrection::PimplFlatFieldCorrection::SetDarkAndBrightFieldImage(const cv::Mat &dark_field_img, |
| 22 | + const cv::Mat &bright_field_img, |
| 23 | + const int &mean_pixel_value) { |
| 24 | + // check input |
| 25 | + if (dark_field_img.empty()) { |
| 26 | + std::cout << "\nERROR: int ipo::FlatFieldCorrection::SetDarkAndBrightFieldImage --(cv::Mat)dark_field_img.empty()" << std::endl; |
| 27 | + return -1; |
| 28 | + } else if (bright_field_img.empty()) { |
| 29 | + std::cout << "\nERROR: int ipo::FlatFieldCorrection::SetDarkAndBrightFieldImage --(cv::Mat)bright_field_img.empty()" << std::endl; |
| 30 | + return -1; |
| 31 | + } else if (dark_field_img.channels() != bright_field_img.channels()) { |
| 32 | + std::cout << "\nERROR: ipo::FlatFieldCorrection::SetDarkAndBrightFieldImage" << std::endl; |
| 33 | + std::cout << " --the number of channel between (cv::Mat)dark_field_img && (cv::Mat)bright_field_img channels() are different" << std::endl; |
| 34 | + return -1; |
| 35 | + } |
| 36 | + |
| 37 | + // print parameter |
| 38 | + if (mean_pixel_value < 0) |
| 39 | + this->mean_pixel_value = 0; |
| 40 | + else if (mean_pixel_value > 255) |
| 41 | + this->mean_pixel_value = 255; |
| 42 | + else |
| 43 | + this->mean_pixel_value = mean_pixel_value; |
| 44 | + std::cout << "userset : this->mean_pixel_value = " << this->mean_pixel_value << std::endl; |
| 45 | + |
| 46 | + // clone image |
| 47 | + this->dark_field_img = cv::Mat::zeros(dark_field_img.size(), dark_field_img.type()); |
| 48 | + this->dark_field_img = dark_field_img.clone(); |
| 49 | + cv::Mat &&bright_img = cv::Mat::zeros(bright_field_img.size(), bright_field_img.type()); |
| 50 | + bright_img = bright_field_img.clone(); |
| 51 | + |
| 52 | + // according to the channel to process separately |
| 53 | + const int channel = this->dark_field_img.channels(); |
| 54 | + this->img_channel = channel; |
| 55 | + const int &width = dark_field_img.cols; |
| 56 | + const int &height = dark_field_img.rows; |
| 57 | + switch (channel) { |
| 58 | + case 1: { |
| 59 | + // allocate memory for gain matrix |
| 60 | + this->gain = cv::Mat::zeros(dark_field_img.size(), CV_64FC1); |
| 61 | + // m |
| 62 | + // const double &mean_value = cv::mean(bright_field_img - dark_field_img)[0]; |
| 63 | + for (size_t j = 0; j < height; j++) { |
| 64 | + uchar *p_dark = this->dark_field_img.ptr<uchar>(j); |
| 65 | + uchar *p_bright = bright_img.ptr<uchar>(j); |
| 66 | + double *p_gain = this->gain.ptr<double>(j); |
| 67 | + for (size_t i = 0; i < width; i++) { |
| 68 | + p_gain[i] = static_cast<double>(this->mean_pixel_value / static_cast<double>(p_bright[i] - p_dark[i])); |
| 69 | + } |
| 70 | + } |
| 71 | + break; |
| 72 | + } |
| 73 | + case 3: { |
| 74 | + // allocate memory for gain matrix |
| 75 | + this->gain = cv::Mat::zeros(dark_field_img.size(), CV_64FC3); |
| 76 | + for (size_t j = 0; j < height; j++) { |
| 77 | + cv::Vec3b *p_dark = this->dark_field_img.ptr<cv::Vec3b>(j); |
| 78 | + cv::Vec3b *p_bright = bright_img.ptr<cv::Vec3b>(j); |
| 79 | + cv::Vec3d *p_gain = this->gain.ptr<cv::Vec3d>(j); |
| 80 | + for (size_t i = 0; i < width; i++) { |
| 81 | + for (size_t k = 0; k < 3; k++) { |
| 82 | + p_gain[i][k] = static_cast<double>(this->mean_pixel_value / static_cast<double>(p_bright[i][k] - p_dark[i][k])); |
| 83 | + } |
| 84 | + } |
| 85 | + } |
| 86 | + break; |
| 87 | + } |
| 88 | + default: { |
| 89 | + std::cout << "\nERROR: ipo::FlatFieldCorrection::SetDarkAndBrightFieldImage" << std::endl; |
| 90 | + std::cout << " --(cv::Mat)channel must be equal to 1 || 3" << std::endl; |
| 91 | + return -1; |
| 92 | + } |
| 93 | + } |
| 94 | + return 0; |
| 95 | +} |
| 96 | + |
| 97 | +cv::Mat FlatFieldCorrection::PimplFlatFieldCorrection::GetResult(const cv::Mat &src) { |
| 98 | + // check input |
| 99 | + if (src.empty()) { |
| 100 | + std::cout << "\nERROR: cv::Mat ipo::FlatFieldCorrection::GetResult" << std::endl; |
| 101 | + std::cout << " --(cv::Mat)src.empty()" << std::endl; |
| 102 | + return {}; |
| 103 | + } else if (this->img_channel != src.channels()) { |
| 104 | + std::cout << "\nERROR: cv::Mat ipo::FlatFieldCorrection::GetResult" << std::endl; |
| 105 | + std::cout << " --(cv::Mat)the channel is different" << std::endl; |
| 106 | + return {}; |
| 107 | + } else if (this->gain.empty()) { |
| 108 | + std::cout << "\nERROR: cv::Mat ipo::FlatFieldCorrection::GetResult" << std::endl; |
| 109 | + std::cout << " --(cv::Mat)this->gain.empty()" << std::endl; |
| 110 | + return {}; |
| 111 | + } |
| 112 | + |
| 113 | + // clone image |
| 114 | + cv::Mat &&sample = cv::Mat::zeros(src.size(), src.type()); |
| 115 | + sample = src.clone(); |
| 116 | + |
| 117 | + cv::Mat &&dst = cv::Mat::zeros(src.size(), src.type()); |
| 118 | + |
| 119 | + const int &width = src.cols; |
| 120 | + const int &height = src.rows; |
| 121 | + switch (this->img_channel) { |
| 122 | + case 1: { |
| 123 | + for (int j = 0; j < height; j++) { |
| 124 | + uchar *R = sample.ptr<uchar>(j); |
| 125 | + uchar *D = this->dark_field_img.ptr<uchar>(j); |
| 126 | + double *G = this->gain.ptr<double>(j); |
| 127 | + uchar *p_dst = dst.ptr<uchar>(j); |
| 128 | + for (int i = 0; i < width; i++) { |
| 129 | + double &&value = static_cast<double>(static_cast<double>(R[i] - D[i]) * G[i]); |
| 130 | + if (value < 0) |
| 131 | + value = 0; |
| 132 | + else if (value > 255) |
| 133 | + value = 255; |
| 134 | + p_dst[i] = static_cast<uchar>(value); |
| 135 | + } |
| 136 | + } |
| 137 | + break; |
| 138 | + } |
| 139 | + case 3: { |
| 140 | + for (int j = 0; j < height; j++) { |
| 141 | + cv::Vec3b *R = sample.ptr<cv::Vec3b>(j); |
| 142 | + cv::Vec3b *D = this->dark_field_img.ptr<cv::Vec3b>(j); |
| 143 | + cv::Vec3d *G = this->gain.ptr<cv::Vec3d>(j); |
| 144 | + cv::Vec3b *p_dst = dst.ptr<cv::Vec3b>(j); |
| 145 | + for (int i = 0; i < width; i++) { |
| 146 | + for (int k = 0; k < 3; k++) { |
| 147 | + double &&value = static_cast<double>(static_cast<double>(R[i][k] - D[i][k]) * G[i][k]); |
| 148 | + if (value < 0) |
| 149 | + value = 0; |
| 150 | + else if (value > 255) |
| 151 | + value = 255; |
| 152 | + p_dst[i][k] = static_cast<uchar>(value); |
| 153 | + } |
| 154 | + } |
| 155 | + } |
| 156 | + break; |
| 157 | + } |
| 158 | + default: { |
| 159 | + std::cout << "\nERROR: cv::Mat ipo::FlatFieldCorrection::GetResult" << std::endl; |
| 160 | + return {}; |
| 161 | + } |
| 162 | + } |
| 163 | + return dst.clone(); |
| 164 | +} |
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