将 RGB 转换为黑色 &OpenCV 中的白色
我想知道如何将 RGB 图像转换为黑色 &白色(二进制)图像.
I would like to know how to convert an RGB image into a black & white (binary) image.
转换后，如何将修改后的图像保存到磁盘?
After conversion, how can I save the modified image to disk?
推荐答案
AFAIK，你必须把它转换成灰度，然后阈值转换成二进制.
AFAIK, you have to convert it to grayscale and then threshold it to binary.
1.将图像读取为灰度图像如果您是从磁盘读取 RGB 图像，那么您可以直接将其作为灰度图像读取，如下所示:
1. Read the image as a grayscale image If you're reading the RGB image from disk, then you can directly read it as a grayscale image, like this:
// C
IplImage* im_gray = cvLoadImage("image.jpg",CV_LOAD_IMAGE_GRAYSCALE);
// C++ (OpenCV 2.0)
Mat im_gray = imread("image.jpg",CV_LOAD_IMAGE_GRAYSCALE);
2.将RGB图像im_rgb转换为灰度图像:否则，您必须将之前获得的RGB图像转换为灰度图像
2. Convert an RGB image im_rgb into a grayscale image: Otherwise, you'll have to convert the previously obtained RGB image into a grayscale image
// C
IplImage *im_rgb = cvLoadImage("image.jpg");
IplImage *im_gray = cvCreateImage(cvGetSize(im_rgb),IPL_DEPTH_8U,1);
cvCvtColor(im_rgb,im_gray,CV_RGB2GRAY);
// C++
Mat im_rgb = imread("image.jpg");
Mat im_gray;
cvtColor(im_rgb,im_gray,CV_RGB2GRAY);
3.转换为二进制您可以使用自适应阈值或固定级别阈值 将您的灰度图像转换为二值图像.
3. Convert to binary You can use adaptive thresholding or fixed-level thresholding to convert your grayscale image to a binary image.
例如在 C 中，您可以执行以下操作(您也可以在 C++ 中使用 Mat 和相应的函数执行相同的操作):
E.g. in C you can do the following (you can also do the same in C++ with Mat and the corresponding functions):
// C
IplImage* im_bw = cvCreateImage(cvGetSize(im_gray),IPL_DEPTH_8U,1);
cvThreshold(im_gray, im_bw, 128, 255, CV_THRESH_BINARY | CV_THRESH_OTSU);
// C++
Mat img_bw = im_gray > 128;
在上面的例子中，128 是阈值.
In the above example, 128 is the threshold.
4.保存到磁盘
// C
cvSaveImage("image_bw.jpg",img_bw);
// C++
imwrite("image_bw.jpg", img_bw);
相关文章