#include #include #include "cvimagex.h" #include "opencv2/opencv.hpp" #include #include "StopWatch.h" #include #include "iimageencode.h" #include "imageencode.h" std::vector caculate(const std::vector& points_x, const std::vector& points_y) { int MaxElement = points_x.size() - 1; //计算常数f double f = points_y[0]; //求解 int n, m; //double a[MaxElement][MaxElement+1]; std::vector> a; //a.resize(MaxElement); for (int i = 0; i < MaxElement; i++) { std::vector b; b.resize(MaxElement + 1); a.push_back(b); } for (int i = 0; i < MaxElement; i++) { for (int j = 0; j < MaxElement; j++) a[i][j] = cv::pow(points_x[i + 1], MaxElement - j); a[i][MaxElement] = points_y[i + 1] - f; } int i, j; n = MaxElement; for (j = 0; j < n; j++) { double max = 0; double imax = 0; for (i = j; i < n; i++) if (imax < cv::abs(a[i][j])) { imax = cv::abs(a[i][j]); max = a[i][j];//得到各行中所在列最大元素 m = i; } if (cv::abs(a[j][j]) != max) { double b = 0; for (int k = j; k < n + 1; k++) { b = a[j][k]; a[j][k] = a[m][k]; a[m][k] = b; } } for (int r = j; r < n + 1; r++) 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 for (i = j + 1; i < n; i++) { double c = a[i][j]; if (c == 0.0) continue; for (int s = j; s < n + 1; s++) 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 } } for (i = n - 2; i >= 0; i--) for (j = i + 1; j < n; j++) a[i][n] = a[i][n] - a[j][n] * a[i][j]; std::vector result; for (int k = 0; k < n; k++) result.push_back(a[k][n]); result.push_back(f); return result; } void hsvCorrect_init(uint* table) { cv::Mat mat_rgbTable(256 * 256, 256, CV_8UC3); uchar* ptr_mat_rgbTable = mat_rgbTable.data; for (size_t r = 0; r < 256; r++) for (size_t g = 0; g < 256; g++) for (size_t b = 0; b < 256; b++, ptr_mat_rgbTable += 3) { ptr_mat_rgbTable[0] = b; ptr_mat_rgbTable[1] = g; ptr_mat_rgbTable[2] = r; } cv::cvtColor(mat_rgbTable, mat_rgbTable, cv::COLOR_BGR2HSV_FULL); uchar table_data[256]; cv::Mat tableLUT(256, 1, CV_8UC1, table_data); std::vector points_x, points_y, coefficient; points_x = { 0, 80, 175, 255 }; points_y = { 12, 85, 175, 270 }; coefficient = caculate(points_x, points_y); for (int j = 0; j < 256; j++) table_data[j] = static_cast(cv::max(0.0, coefficient[0] * j * j * j + coefficient[1] * j * j + coefficient[2] * j + coefficient[3])); cv::Mat hsv_ms[3]; cv::split(mat_rgbTable, hsv_ms); cv::LUT(hsv_ms[0], tableLUT, hsv_ms[0]); cv::merge(hsv_ms, 3, mat_rgbTable); cv::cvtColor(mat_rgbTable, mat_rgbTable, cv::COLOR_HSV2BGR_FULL); cv::Mat mat_bgr32(256, 256 * 256, CV_8UC4); cv::cvtColor(mat_rgbTable, mat_bgr32, cv::COLOR_BGR2BGRA); memcpy(table, mat_bgr32.data, mat_bgr32.total() * sizeof(uint)); } void hsvCorrect(cv::Mat& image, uint* table) { if (image.channels() != 3) return; cv::Mat bgra; cv::cvtColor(image, bgra, cv::COLOR_BGR2BGRA); uint* ptr = bgra.ptr(); int rows = bgra.rows, cols = bgra.cols; for (int i = 0; i < rows; i++) { ptr = reinterpret_cast(bgra.ptr(i)); for (int j = 0; j < cols; j++) ptr[j] = table[ptr[j] & 0x00ffffff]; } cv::cvtColor(bgra, image, cv::COLOR_BGRA2BGR); } static std::string read_all_from(std::string path) { int t; FILE* file = fopen(path.c_str(), "rb"); fseek(file, 0, SEEK_END); t = ftell(file); std::string buf(t, 0); fseek(file, 0, SEEK_SET); fread((void*)buf.c_str(), t, 1, file); fclose(file); return buf; } int main() { //std::string straa = read_all_from("/mnt/d/3.tif"); //fipMemoryIO mio((unsigned char*)straa.c_str(), straa.size()); //auto filet = mio.getFileType(); uint *table =new uint[256*256*256]; hsvCorrect_init(table); for(int i =1;i<5;i++){ //std::string imgpath = "/home/img/Scan"+std::to_string(i)+".jpg"; std::string imgpath = "/home/scan_0016.jpg"; cv::Mat mat=cv::imread(imgpath,cv::IMREAD_COLOR); StopWatch sw; hsvCorrect(mat,table); printf("\n hsvCorrect %f ",sw.elapsed_ms()); cv::imwrite("/home/Scan"+std::to_string(i)+"done.jpg",mat); } delete []table; // ImageEncodePtr encoder(new BmpImageEncode()); // encoder->encode(mat); return 0; }