概述
获取 canon CR2 格局的 rgb 值，因为 opencv 的 imread 并不反对 CR2 格局的，所以先用 libraw 解决，而后转成 Mat 矩阵解决，最初再通过 opencv 获取 rgb 的值。
步骤
1. 初始化 libraw
libraw_data_t *iprc = libraw_init(0);2. 关上 CR2 文件
QString imgSavePath("C://Users//Administrator//Desktop//test//IMG_0782.CR2"); ret = libraw_open_file(iprc,imgSavePath.toStdString().data());3. 解包 raw 的原始格局
libraw_unpack(iprc);4. 以 RGB 位图模式存储到缓存
int check = libraw_dcraw_process(iprc); // 模仿 dcraw 解决 libraw_processed_image_t* img = libraw_dcraw_make_mem_image(iprc, &check);5. 应用 Mat 结构获取到的数据
cv::Mat output = cv::Mat(cv::Size(img ->width, img ->height), CV_16UC3, img ->data, cv::Mat::AUTO_STEP);6. 转成 IplImage 格局并将获取到的 rgb值写入到 txt 中
IplImage img = IplImage (output); CvScalar pixel; for (int i = 0; i < img.height; ++i) { for (int j = 0; j < img.width; ++j) { //取得像素的 RGB 值并显示 pixel = cvGet2D(&img, i, j); outfile << pixel.val[0] << "," << pixel.val[1] << "," << pixel.val[2]; outfile << "\n"; cvSet2D(&img, i, j, pixel); } }残缺代码
int RawToRgb(){ int ret; QString imgSavePath("C://Users//Administrator//Desktop//test//IMG_0782.CR2"); libraw_data_t *iprc = libraw_init(0); libraw_output_params_t p = iprc->params; ret = libraw_open_file(iprc,imgSavePath.toStdString().data()); libraw_unpack(iprc); int check = libraw_dcraw_process(iprc); libraw_processed_image_t* img = libraw_dcraw_make_mem_image(iprc, &check); if(img != NULL) { ofstream outfile("C://Users//Administrator//Desktop//rgb.txt"); cv::Mat output = cv::Mat(cv::Size(img->width, img->height), CV_16UC3, img->data, cv::Mat::AUTO_STEP); IplImage rawImg = IplImage (output); // Mat 格局转为 IplImage 格局 CvScalar pixel; for (int i = 0; i < rawImg.height; ++i) { for (int j = 0; j < rawImg.width; ++j) { //取得像素的 RGB 值并显示，程序是 bgr pixel = cvGet2D(&rawImg, i, j); outfile << pixel.val[0] << "," << pixel.val[1] << "," << pixel.val[2]; outfile << "\n"; cvSet2D(&rawImg, i, j, pixel); } } } return 0;}参考资料
- libraw-docs
- rawpy-api