我使用imread从磁盘上传图像(我认为BGR是cv :: imread的默认输出)。然后,我使用cvtcolor将图像从BGR(默认的OpenCV)转换为RGBA(默认的CUDA)。
我认为我应该确保图像已正确转换,因此我显示(并保存)转换后的图像。然而,图像颜色失真&当我使用imshow& imwrite。出于调试目的,我试图将转换恢复为图像debugImage&令人惊讶的是它显示正确。
cv::Mat image;
image = cv::imread("input_image.jpg", CV_LOAD_IMAGE_COLOR);
if (image.empty()) {
std::cerr << "Couldn't open file: " << filename << std::endl;
exit(1);
}
int type1 = image.type(); //16 --> CV_8UC3
cv::namedWindow("image window", cv::WINDOW_AUTOSIZE);
cv::imshow("image window", image);
cv::waitKey(0);
cv::destroyWindow("image window");
cv::Mat imageRGBA1(image.rows, image.cols, CV_8UC4);
cv::cvtColor(image, imageRGBA1, CV_BGR2RGBA); // BGR2RGBA DIDNOT WORKED!!
int type2 = imageRGBA1.type(); // 24 --> CV_8UC4
cv::namedWindow("imageRGBA1 window", cv::WINDOW_AUTOSIZE);
cv::imshow("imageRGBA1 window", imageRGBA1); // BLUISH IMAGE
cv::waitKey(0);
cv::destroyWindow("imageRGBA1 window");
cv::Mat debugImage(image.rows, image.cols, CV_8UC4);
cv::cvtColor(imageRGBA1, debugImage, CV_RGBA2BGR);
int debugtype = debugImage.type(); // 24 --> CV_8UC4
cv::namedWindow("debugImage window", cv::WINDOW_AUTOSIZE);
cv::imshow("debugImage window", debugImage); // CORRECT IMAGE
cv::waitKey(0);
cv::destroyWindow("debugImage window");
当我假设从imread获得的图像是RGB图像时,转换有效:
cv::Mat image;
image = cv::imread("input_image.jpg", CV_LOAD_IMAGE_COLOR);
if (image.empty()) {
std::cerr << "Couldn't open file: " << filename << std::endl;
exit(1);
}
int type1 = image.type(); //16 --> CV_8UC3
cv::namedWindow("image window", cv::WINDOW_AUTOSIZE);
cv::imshow("image window", image);
cv::waitKey(0);
cv::destroyWindow("image window");
cv::Mat imageRGBA1(image.rows, image.cols, CV_8UC4);
cv::cvtColor(image, imageRGBA1, CV_RGB2RGBA); // CV_RGB2RGBA WORKED!!
int type2 = imageRGBA1.type(); // 24 --> CV_8UC4
cv::namedWindow("imageRGBA1 window", cv::WINDOW_AUTOSIZE);
cv::imshow("imageRGBA1 window", imageRGBA1); // CORRECT IMAGE
cv::waitKey(0);
cv::destroyWindow("imageRGBA1 window");
我错过了什么?