标准化和 .TIFF 格式

发布于 2025-01-15 01:54:03 字数 705 浏览 0 评论 0原文

我目前正在使用 OpenCV（C++ 语言）来标准化图像形式的一些数据。由于我计划训练自动编码器，我发现一些文章和论文表明，如果数据在 -1 到 1（tanh 与 sin）的范围内标准化会更好。我设法使用以下代码来做到这一点：

cv::VideoCapture cap(video);
cv::Mat frame;
cap.read(frame);

//convert to grayscale
cv::cvtColor(*frame, *frame, cv::COLOR_BGR2GRAY);

//normalise
frame->convertTo(*frame, CV_32FC1); //change data type from CV_8UC1 to CV_32FC1
cv::normalize(*frame, *frame, -1, 1, cv::NORM_MINMAX);

//downscale
cv::resize(*frame, *frame, cv::Size(256, 256));

我想做的下一件事是保存标准化图像，为此我使用 cv::imwrite()，所以我有以下行: cv::imwrite("normImage.tiff", *frame);。

然而，我想知道将图像写入 .TIFF 格式是否实际上会反转规范化，并且我无法验证是否是这种情况。我还想问是否有更好的方法/格式使用OpenCV写入图像？

干杯

原文

I'm currently using OpenCV (in C++) to normalize some data in the form of images. Since I'm planning to train an autoencoder I found some articles and papers suggesting that it's better if the data is normalised in the range from -1 to 1 (tanh vs sin). I managed to do this with the following code:

cv::VideoCapture cap(video);
cv::Mat frame;
cap.read(frame);

//convert to grayscale
cv::cvtColor(*frame, *frame, cv::COLOR_BGR2GRAY);

//normalise
frame->convertTo(*frame, CV_32FC1); //change data type from CV_8UC1 to CV_32FC1
cv::normalize(*frame, *frame, -1, 1, cv::NORM_MINMAX);

//downscale
cv::resize(*frame, *frame, cv::Size(256, 256));

The next thing I want to do is to save the normalised image and for this I'm using cv::imwrite(), so I have the following line: cv::imwrite("normImage.tiff", *frame);.

I'm wondering, however, if writing the image to .TIFF format actually reverses the normalisation and I haven't been able to verify whether that's the case or not. I'd also like to ask if there's a better way/format to write the image using OpenCV?

Cheers

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