475 lines
14 KiB
C++
475 lines
14 KiB
C++
#include <unistd.h>
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#include <sys/types.h>
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#include <sys/stat.h>
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#include <fcntl.h>
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#include "correct_ultis.h"
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#include "CImageMerge.h"
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#define USE_NEWFLAT
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using namespace cv;
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//设置一面的offset值
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void setOffset(int *config, int step)
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{
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for (int i = 0; i < 6; i++)
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{
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int *offset = config + i;
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*offset += step;
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if (*offset < 0)
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*offset = 1;
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if (*offset > 255)
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*offset = 255;
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}
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}
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cv::Mat extractRepresentRow2(const cv::Mat &src)
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{
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cv::Mat BWbalenceSrc(1, src.cols * src.channels(), CV_8UC1);
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cv::Mat temp_imageBW(src.rows, src.cols * src.channels(), CV_8UC1, src.data);
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for (size_t i = 0; i < BWbalenceSrc.cols; i++)
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BWbalenceSrc.at<u_char>(0, i) = cv::mean(temp_imageBW(cv::Rect(i, 0, 1, temp_imageBW.rows)))[0];
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return BWbalenceSrc;
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}
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cv::Mat loadLUT(const std::string &file)
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{
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cv::Mat dataFile = cv::imread(file, cv::IMREAD_ANYCOLOR);
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long total = dataFile.total();
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int step = total / 256;
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int channel = 1;
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#ifndef USE_NEWFLAT
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if (step == 4896 || step == 7344)
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channel = 408;
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else if (step == 14688 || step == 22032 || step == 44064)
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channel = 432; // 486
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#else
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#ifdef G400
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channel = 408;
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#else
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channel = 432;
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#endif
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#endif
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cv::Mat lut(step / channel, 256, CV_8UC(channel));
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memcpy(lut.data, dataFile.data, total);
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return lut;
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}
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void initLut(const std::string lutpath, bool iscolor)
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{
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if (!lutpath.empty() && (access(lutpath.c_str(), F_OK) == 0))
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{
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if (iscolor)
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{
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lutColorMat = loadLUT(lutpath); //彩色校正值
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}
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else
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lutGrayMat = loadLUT(lutpath); //灰色校正值
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}
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}
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void correctColor(cv::Mat &src, int dpi, int mode, bool lutgraghic)
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{
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cv::Mat lutMat;
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#ifdef USE_NEWFLAT
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FPGAConfigParam param = GetFpgaparam(dpi, mode);
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std::string path = lutgraghic ? param.LutPath : param.TextLutPath;
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#else
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std::string path = param.LutPath;
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#endif
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if (src.type() == CV_8UC3)
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{
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if (lutColorMat.empty())
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{
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if (access(path.c_str(), F_OK) != -1)
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{
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lutColorMat = loadLUT(path);
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}
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else
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{
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printf("error error error %s NOT FOUND \n", path.c_str());
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return;
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}
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}
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lutMat = lutColorMat;
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}
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else
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{
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if (lutGrayMat.empty())
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{
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if (access(path.c_str(), F_OK) != -1)
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{
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lutGrayMat = loadLUT(path);
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}
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else
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{
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printf("error error error %s NOT FOUND", path.c_str());
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return;
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}
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}
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lutMat = lutGrayMat;
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}
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if (lutMat.empty())
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{
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return;
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}
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cv::Mat image_temp(src.rows, src.cols * src.channels() / lutMat.channels(), CV_8UC(lutMat.channels()), src.data);
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for (size_t i = 0; i < image_temp.cols; i++)
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cv::LUT(image_temp(cv::Rect(i, 0, 1, image_temp.rows)), lutMat(cv::Rect(0, i, 256, 1)), image_temp(cv::Rect(i, 0, 1, image_temp.rows)));
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}
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void correctColor(cv::Mat& src, cv::Mat& lut)
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{
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cv::Mat image_temp(src.rows, src.cols * src.channels() / lut.channels(), CV_8UC(lut.channels()), src.data);
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for (size_t i = 0; i < image_temp.cols; i++)
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cv::LUT(image_temp(cv::Rect(i, 0, 1, image_temp.rows)), lut(cv::Rect(0, i, 256, 1)), image_temp(cv::Rect(i, 0, 1, image_temp.rows)));
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}
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void creatLUTData(int dpi, int mode)
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{
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FPGAConfigParam param = GetFpgaparam(dpi, mode);
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auto colormode = mode == 1 ? IMREAD_COLOR : IMREAD_GRAYSCALE;
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std::string blackPath = param.Flat_BwPath;
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std::string whitePath = param.Flat_WhitePath;
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cv::Mat lut;
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cv::Mat twMat = cv::imread(whitePath, colormode);
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cv::Mat tbMat = cv::imread(blackPath, colormode);
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cv::Mat wMat, bMat;
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if (mode == 1)
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{
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wMat = cv::Mat(twMat.rows, twMat.cols * 3, CV_8UC1, twMat.data);
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bMat = cv::Mat(twMat.rows, twMat.cols * 3, CV_8UC1, tbMat.data);
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}
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else
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{
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wMat = twMat;
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bMat = tbMat;
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}
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#ifdef USE_NEWFLAT
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//lut = calcLUT(extractRepresentRow2(bMat), extractRepresentRow2(wMat), false);
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//cv::imwrite(param.LutPath, lut);
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lut = calcLUT(extractRepresentRow2(bMat), extractRepresentRow2(wMat), true);
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cv::imwrite(param.TextLutPath, lut);
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#else
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lut = create_lut(extractRepresentRow2(bMat), extractRepresentRow2(wMat), dpi, mode);
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// Mat dst(bMat.cols * bMat.channels(), 256, CV_8UC1);
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// memcpy(dst.data, lut.data, bMat.cols * bMat.channels() * 256);
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cv::imwrite(param.LutPath, lut);
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#endif
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printf("exit creatLUTData \n");
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}
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cv::Mat creatLUTData_7010(int dpi , int mode)
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{
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FPGAConfigParam param = GetFpgaparam(dpi, mode);
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auto colormode = mode == 1 ? IMREAD_COLOR : IMREAD_GRAYSCALE;
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std::string blackPath = param.Flat_BwPath;
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std::string whitePath = param.Flat_WhitePath;
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cv::Mat lut;
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cv::Mat twMat = cv::imread(whitePath, colormode);
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cv::Mat tbMat = cv::imread(blackPath, colormode);
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cv::Mat wMat, bMat;
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if (mode == 1)
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{
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wMat = cv::Mat(twMat.rows, twMat.cols * 3, CV_8UC1, twMat.data);
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bMat = cv::Mat(twMat.rows, twMat.cols * 3, CV_8UC1, tbMat.data);
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}
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else
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{
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wMat = twMat;
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bMat = tbMat;
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}
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#ifdef USE_NEWFLAT
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//lut = calcLUT(extractRepresentRow2(bMat), extractRepresentRow2(wMat), false);
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//cv::imwrite(param.LutPath, lut);
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lut = calcLUT(bMat, wMat, true);//
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return lut;
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#else
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lut = create_lut(extractRepresentRow2(bMat), extractRepresentRow2(wMat), dpi, mode);
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// Mat dst(bMat.cols * bMat.channels(), 256, CV_8UC1);
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// memcpy(dst.data, lut.data, bMat.cols * bMat.channels() * 256);
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cv::imwrite(param.LutPath, lut);
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#endif
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}
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FPGAConfigParam GetFpgaparam(int dpi, int mode)
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{
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return correctparam.GetFpgaparam(dpi, mode);
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}
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void SaveFpgaparam(FPGAConfigParam ¶m)
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{
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correctparam.SaveCorrectParam(param);
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}
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cv::Mat colMean(const cv::Mat &image)
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{
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cv::Mat meanMat(1, image.step, CV_8UC1);
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cv::Mat tempMat(image.rows, image.step, CV_8UC1, image.data);
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for (int i = 0; i < tempMat.step; i++)
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meanMat.data[i] = cv::mean(tempMat(cv::Rect(i, 0, 1, tempMat.rows)))[0];
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return meanMat;
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}
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float gamma(float value, float ex)
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{
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return cv::pow(value / 255.0f, 1.0f / ex) * 255.0f + 0.5f;
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}
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#define GAMMA_EX 1.7f
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#define BLACK_OFFSET 0
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void fittingLUT(const std::vector<u_char> &points, u_char min_value, u_char max_value, u_char *data)
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{
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float step = max_value - min_value + 1;
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memset(data, min_value, 127);
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memset(data + 127, max_value, 129);
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int b = points[0];
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int w = points[1];
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int tb = min_value;
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int tw = max_value;
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step = cv::max((float)(tw - tb + 1) / (float)(w - b + 1), 0.0f);
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float temp;
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for (int j = 0, length = (255 - b + 1); j < length; j++)
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{
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temp = gamma(tb + step * j, GAMMA_EX) - BLACK_OFFSET;
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data[j + b] = cv::min(255, cv::max(0, static_cast<int>(temp)));
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}
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}
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std::vector<double> caculate(const std::vector<double> &points_x, const std::vector<double> &points_y)
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{
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int MaxElement = points_x.size() - 1;
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//计算常数f
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double f = points_y[0];
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//求解
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int n, m;
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// double a[MaxElement][MaxElement+1];
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std::vector<std::vector<double>> a;
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// a.resize(MaxElement);
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for (int i = 0; i < MaxElement; i++)
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{
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std::vector<double> b;
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b.resize(MaxElement + 1);
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a.push_back(b);
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}
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for (int i = 0; i < MaxElement; i++)
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{
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for (int j = 0; j < MaxElement; j++)
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a[i][j] = cv::pow(points_x[i + 1], MaxElement - j);
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a[i][MaxElement] = points_y[i + 1] - f;
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}
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int i, j;
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n = MaxElement;
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for (j = 0; j < n; j++)
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{
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double max = 0;
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double imax = 0;
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for (i = j; i < n; i++)
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{
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if (imax < cv::abs(a[i][j]))
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{
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imax = cv::abs(a[i][j]);
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max = a[i][j]; //得到各行中所在列最大元素
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m = i;
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}
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}
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if (cv::abs(a[j][j]) != max)
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{
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double b = 0;
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for (int k = j; k < n + 1; k++)
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{
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b = a[j][k];
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a[j][k] = a[m][k];
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a[m][k] = b;
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}
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}
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for (int r = j; r < n + 1; r++)
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{
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a[j][r] = a[j][r] / max; //让该行的所在列除以所在列的第一个元素，目的是让首元素为1
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}
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for (i = j + 1; i < n; i++)
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{
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double c = a[i][j];
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if (c == 0.0)
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continue;
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for (int s = j; s < n + 1; s++)
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{
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a[i][s] = a[i][s] - a[j][s] * c; //前后行数相减，使下一行或者上一行的首元素为0
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}
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}
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}
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for (i = n - 2; i >= 0; i--)
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{
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for (j = i + 1; j < n; j++)
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{
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a[i][n] = a[i][n] - a[j][n] * a[i][j];
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}
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}
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std::vector<double> result;
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for (int k = 0; k < n; k++)
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result.push_back(a[k][n]);
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result.push_back(f);
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return result;
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}
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cv::Mat createLUT(const std::vector<cv::Mat> &mats, bool isTextCorrect)
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{
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int rows = mats[0].cols;
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cv::Mat lut(rows, 256, CV_8UC1);
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double max_val, min_val;
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cv::minMaxIdx(mats[0], &min_val, nullptr);
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cv::minMaxIdx(mats[1], nullptr, &max_val);
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for (size_t i = 0; i < rows; i++)
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{
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std::vector<u_char> grayPoints;
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for (size_t j = 0; j < mats.size(); j++)
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grayPoints.push_back(mats[j].data[i]);
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fittingLUT(grayPoints, static_cast<u_char>(min_val), static_cast<u_char>(max_val), lut.data + i * 256);
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}
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if (isTextCorrect)
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{
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std::vector<double> points_x = {0, 25, 205, 255}, points_y = {0, 0, 230, 255};
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std::vector<double> coefficient = caculate(points_x, points_y);
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u_char buffer[256];
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for (int i = 0; i < 256; i++)
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{
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int temp = coefficient[0] * i * i * i + coefficient[1] * i * i + coefficient[2] * i + coefficient[3];
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buffer[i] = static_cast<u_char>(cv::min(255, cv::max(0, temp)));
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}
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cv::Mat lut_lut(256, 1, CV_8UC1, buffer);
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cv::LUT(lut, lut_lut, lut);
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}
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return lut;
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}
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#ifdef G400
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#define CHANNEL 408
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#else
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#define CHANNEL 432
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#endif
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cv::Mat calcLUT(const cv::Mat &black, const cv::Mat &white, bool isTextCorrection)
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{
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std::vector<cv::Mat> w;
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w.push_back(black);
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w.push_back(white);
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cv::Mat lut = createLUT(w, isTextCorrection);
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for (size_t i = 0, block = lut.rows / CHANNEL; i < block; i++)
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{
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cv::Mat lutROI = lut(cv::Rect(0, i * CHANNEL, 256, CHANNEL));
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cv::Mat tran;
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cv::transpose(lutROI, tran);
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memcpy(lutROI.data, tran.data, tran.total());
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}
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return lut;
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}
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void calcLUT(int dpi , int mode, bool isTextCorrection, cv::Mat& lut)
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{
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FPGAConfigParam param = GetFpgaparam(dpi, mode);
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auto colormode = mode == 1 ? IMREAD_COLOR : IMREAD_GRAYSCALE;
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std::string blackPath = param.Flat_BwPath;
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std::string whitePath = param.Flat_WhitePath;
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cv::Mat twMat = cv::imread(whitePath, colormode);
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cv::Mat tbMat = cv::imread(blackPath, colormode);
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cv::Mat dataFile = calcLUT(tbMat, twMat, isTextCorrection);
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printf("whitePath =%s blackPath = %s \n",whitePath.c_str(),blackPath.c_str());
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long total = dataFile.total();
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int step = total / 256;
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int channel = 1;
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#ifndef USE_NEWFLAT
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if (step == 4896 || step == 7344)
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channel = 408;
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else if (step == 14688 || step == 22032 || step == 44064)
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channel = 432; // 486
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#else
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#ifdef G400
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channel = 408;
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#else
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channel = 432;
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#endif
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#endif
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lut = cv::Mat::zeros(step / channel, 256, CV_8UC(channel));
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memcpy(lut.data, dataFile.data, total);
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printf("!!!!!!!!!!!!!!calc memory lut done \n");
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}
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cv::Mat create_lut(const cv::Mat &black, const cv::Mat &white, int dpi, bool colormode)
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{
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#ifndef USE_NEWFLAT
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if (black.empty() || white.empty() || black.channels() != 1 || white.channels() != 1 || black.step != white.step)
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return cv::Mat();
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int channel = 1;
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if (black.step == 4896 || black.step == 7344)
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channel = 408;
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else if (black.step == 14688 || black.step == 22032 || black.step == 44064)
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channel = 432; // 486
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if (channel == 1)
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return cv::Mat();
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const int rows = black.cols / channel;
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const int cols = 256;
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auto cc = CV_8UC(channel);
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Mat lut(rows, cols, CV_8UC(channel));
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for (size_t i = 0; i < rows; i++)
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{
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Mat lut_row = lut(cv::Rect(0, i, cols, 1));
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unsigned char *ptr_buffer = lut_row.data;
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unsigned char *ptr_black = black.data + i * channel;
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unsigned char *ptr_white = white.data + i * channel;
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for (size_t j = 0; j < cols; j++)
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for (size_t k = 0; k < channel; k++)
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{
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if (ptr_black[k] >= ptr_white[k])
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{
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ptr_buffer[j * channel + k] = 0;
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continue;
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}
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if (j <= ptr_black[k])
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ptr_buffer[j * channel + k] = 0;
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else if (j >= ptr_white[k])
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ptr_buffer[j * channel + k] = 255;
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else
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{
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float val = 255.0f * (j - ptr_black[k]) / (ptr_white[k] - ptr_black[k]) * 1.275; //
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ptr_buffer[j * channel + k] = (unsigned char)cv::max(0.0f, cv::min(val, 255.0f));
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}
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}
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}
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cv::Mat saveMat(black.step, 256, CV_8UC1, lut.data);
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return saveMat.clone();
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#else
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return calcLUT(black, white, false);
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#endif
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}
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cv::Mat GetMergeMat(int dstwidth, int dstheight, int type, cv::Mat &mat)
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{
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// return CImageMerge().MergeImage(type == CV_8UC3, mat, dstwidth, dstheight);
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} |