C++ 如何在 OpenCv 中将 cv::Mat 转换为灰度?

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时间:2020-08-27 13:55:01  来源:igfitidea点击:

How can I convert a cv::Mat to a gray scale in OpenCv?

c++variablesopencvgrayscale

提问by user1319603

How can I convert a cv::Mat to a gray scale?

如何将 cv::Mat 转换为灰度?

I am trying to run drawKeyPoints func from opencv, however I have been getting an Assertion Filed error. My guess is that it needs to receive a gray scale image rather than a color image in the parameter.

我正在尝试从 opencv 运行 drawKeyPoints func,但是我收到了 Assertion Filed 错误。我的猜测是它需要在参数中接收灰度图像而不是彩色图像。

void SurfDetector(cv::Mat img){
vector<cv::KeyPoint> keypoints;
cv::Mat featureImage;

cv::drawKeypoints(img, keypoints, featureImage, cv::Scalar(255,255,255) ,cv::DrawMatchesFlags::DRAW_RICH_KEYPOINTS);

cv::namedWindow("Picture");
cv::imshow("Picture", featureImage);

}

}

回答by sansuiso

Using the C++ API, the function name has slightly changed and it writes now:

使用 C++ API,函数名称略有变化,现在写成:

#include <opencv2/imgproc/imgproc.hpp>

cv::Mat greyMat, colorMat;
cv::cvtColor(colorMat, greyMat, CV_BGR2GRAY);

The main difficulties are that the function is in the imgprocmodule (not in the core), and by default cv::Mat are in the Blue Green Red (BGR) order instead of the more common RGB.

主要困难在于该函数位于imgproc模块中(不在核心中),并且默认情况下 cv::Mat 处于蓝绿红 (BGR) 顺序而不是更常见的 RGB。

OpenCV 3

OpenCV 3

Starting with OpenCV 3.0, there is yet another convention. Conversion codes are embedded in the namespace cv::and are prefixed with COLOR. So, the example becomes then:

从 OpenCV 3.0 开始,还有另一个约定。转换代码嵌入在命名空间中cv::,并以COLOR. 因此,示例变为:

#include <opencv2/imgproc/imgproc.hpp>

cv::Mat greyMat, colorMat;
cv::cvtColor(colorMat, greyMat, cv::COLOR_BGR2GRAY);

As far as I have seen, the included file path hasn't changed (this is not a typo).

据我所知,包含的文件路径没有改变(这不是错字)。

回答by Chanaka Fernando

May be helpful for late comers.

可能对后来者有所帮助。

#include "stdafx.h"
#include "cv.h"
#include "highgui.h"

using namespace cv;
using namespace std;

int main(int argc, char *argv[])
{
  if (argc != 2) {
    cout << "Usage: display_Image ImageToLoadandDisplay" << endl;
    return -1;
}else{
    Mat image;
    Mat grayImage;

    image = imread(argv[1], IMREAD_COLOR);
    if (!image.data) {
        cout << "Could not open the image file" << endl;
        return -1;
    }
    else {
        int height = image.rows;
        int width = image.cols;

        cvtColor(image, grayImage, CV_BGR2GRAY);


        namedWindow("Display window", WINDOW_AUTOSIZE);
        imshow("Display window", image);

        namedWindow("Gray Image", WINDOW_AUTOSIZE);
        imshow("Gray Image", grayImage);
        cvWaitKey(0);
        image.release();
        grayImage.release();
        return 0;
    }

  }

}