将图像颜色从灰度转换为RGB OpenCV C ++ [英] Convert Image Color from Grayscale to RGB OpenCV C++

问题描述

基本上，我试图将以下输出图像转换为彩色（RGB）。该代码当前输出的图像是灰度，但是，对于我的应用程序，我希望它作为颜色输出。请让我知道我应该在哪里转换图像。

Basically I am trying to convert the below output image to color(RGB). The image that this code currently outputs is grayscale, however, for my application I would like it to be output as color. Please let me know where I should convert the image.

下面的代码也是C ++，它使用了一个来自openCV的函数。请记住，我使用包装器在我的iphone应用程序中使用此代码。

Also the code below is C++ and it using a function from openCV. Please keep in mind that I am using a wrapper to use this code in my iphone application.

cv::Mat CVCircles::detectedCirclesInImage(cv::Mat img, double dp, double minDist, double    param1, double param2, int min_radius, int max_radius) {
//(cv::Mat img, double minDist, int min_radius, int max_radius)


if(img.empty())
    {
    cout << "can not open image " << endl;
    return img;
    }
Mat cimg;
medianBlur(img, img, 5);

cvtColor(img, cimg, CV_GRAY2RGB);

vector<Vec3f> circles;
HoughCircles(  img      //InputArray 
             , circles  //OutputArray
             , CV_HOUGH_GRADIENT  //int method
             , 1//dp              //double       dp=1   1 ... 20
             , minDist         //double minDist=10 log 1...1000
             , 100//param1          //double  param1=100
             , 30//param2          //double  param2=30  10 ... 50
             , min_radius      //int  minRadius=1   1 ... 500
             , max_radius      //int  maxRadius=30  1 ... 500
             );

for( size_t i = 0; i < circles.size(); i++ )
    {
    Vec3i c = circles[i];
    circle( cimg, Point(c[0], c[1]), c[2], Scalar(255,0,0), 3, CV_AA);
    circle( cimg, Point(c[0], c[1]), 2, Scalar(0,255,0), 3, CV_AA);
    }


return cimg;
}

推荐答案

期望灰度图像作为输入。我想你是问如何适应它接受一个彩色输入图像和返回一个彩色输出图像。你不需要改变太多：

This is currently set up to expect a grayscale image as input. I think that you are asking how to adapt it to accept a colour input image and return a colour output image. You don't need to change much:

cv::Mat CVCircles::detectedCirclesInImage(cv::Mat img, double dp, double minDist, double  param1, double param2, int min_radius, int max_radius) {

  if(img.empty())
        {
        cout << "can not open image " << endl;
        return img;
        }
  Mat img;

  if (img.type()==CV_8UC1) {
              //input image is grayscale
    cvtColor(img, cimg, CV_GRAY2RGB);

  } else {
              //input image is colour
    cimg = img;
    cvtColor(img, img, CV_RGB2GRAY);
  }

其余按原样保留。

如果输入图像是彩色的，则将其转换为灰色以便由HoughCircles处理，并将找到的圆形应用于原始彩色图像以供输出。

If your input image is colour, you are converting it to gray for processing by HoughCircles, and applying the found circles to the original colour image for output.

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