我想权衡新图像的亮度值。我有一张 5 像素的图像 (5px.jpg)，亮度为:50,100,150,200,250。

我有一个系数 vector 。

我创建了一个新的 Mat Z，它结合了 5px.jpg 的亮度和系数。

因此，我的第一个亮度值是 50 (lum[0]=50)，我希望它应用于矩阵的第一个像素 5.1 (coef[0]=5.1)。为此，我需要用第一个和第二个亮度值对第 6 个像素进行加权。在我的例子中，我的第 6 个像素的亮度将为 95，因为 (0.1*50)+(0.9*100)=95

vân vân……

但我不知道为什么我的代码不起作用。

我已经针对 vector đây 问过类似的问题现在，我正在尝试适应图像。

我输入的图片:

我的输出:

#define MPI 3.14159265358979323846264338327950288419716939937510
#define RAD2DEG (180./MPI)
#include "opencv2/core/core.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include 
#include 
#include 
#include 
#include 
sử dụng không gian tên cv;
sử dụng không gian tên std;

int chính()
{

    Mat image = imread("5px.jpg", 1);
    if (image.empty())
    {
        cout << "Couldn't load " << image << endl;

    }
    khác
    {
        cout << "Image upload, go" << endl;
    }


    namedWindow("ImageIn", CV_WINDOW_AUTOSIZE);
    imshow("ImageIn", image);
    Mat imgGrayScale;

    cvtColor(image, imgGrayScale, CV_BGR2GRAY);


    float *deltaP = new float[imgGrayScale.cols];
    float *angle = new float[imgGrayScale.cols];
    float *coeff = new float[imgGrayScale.cols];
    int col;


    for (col = 0; col < imgGrayScale.cols; ++col)
    {
        //cout << "position x = " << col << endl;
        deltaP[col] = imgGrayScale.at(0, col);
        //cout << "luminance = " << deltaP[col] << endl;

        angle[col] = acos(deltaP[col] / 255);
        //cout << "angle =" << angle[col] << endl;

        coeff[col] = (1 / cos(angle[col]));
        cout << "coeff = " << coeff[col] << endl;
    }

    int width = imgGrayScale.size().width;
    int height = imgGrayScale.size().height;

    int width2 = width * 5;

    int idx_coef = 0;
    Mat Z = Mat::zeros(height, width2, CV_8UC1);


    //for (int r = 0; r < imgGrayScale.rows; r++)
    //{
    //cout << "Saut de ligne " << endl << endl << endl;
    for (int t = 0; t < imgGrayScale.cols; t++)
    {
        //cout << "Saut de colonne " << endl;
        // Attribue le coeff à une variable
        int c = int(coeff[idx_coef]);
        //cout << "x" << t << endl;

        for (int i = 0; i < c; ++i)
        {
            Z.at(0, c) = imgGrayScale.at(0, t);
        }


        float alpha = fmod(coeff[idx_coef], 1.f);
        float beta = 1.f - alpha;

        Z.at(0, c + 1) = (alpha * imgGrayScale.at(0, t) + beta * imgGrayScale.at(0, t + 1));

        idx_coef++;
        coeff[idx_coef] = coeff[idx_coef] - beta;



        if (idx_coef >= width - 1)
        {

            int cc = int(coeff[idx_coef]);
            for (int i = 0; i < cc; ++i)
            {
                Z.at(0, c) = imgGrayScale.at(0, t);
            }
            idx_coef = 0;
            phá vỡ;

        }

    }
    //}

    namedWindow("m", CV_WINDOW_AUTOSIZE);
    imshow("m", Z);
    imwrite("lumianacetest.jpg", Z);
    int t = waitKey();
    if ((char)t == 27)

        trả về 0;
}

câu trả lời hay nhất

• 您在访问矩阵 Z 时弄乱了索引。您不应在 c 列访问 Z，但您需要访问 current 列(作为 vectơ::push_back会做)。所以你可以将当前索引列保存在一个变量中，这里是idx_z，每次访问Z
时都会递增它
• 这里你的 Z Đúng CV_8U，所以你失去了准确性，因为你的值是 trôi nổi。您可以将Z创建为CV_32F，如果您需要以CV_8U格式存储值以保存图像，您可以转换为 CV_8U 后来，最终。
• Z 的最后一列不会被设置为任何值(因此我将它们初始化为值 0)。如果您需要它们具有 imgGrayScale 中的最后一个值，只需对代码的相关部分进行反注释即可。

这里是代码:

#define MPI 3.14159265358979323846264338327950288419716939937510
#define RAD2DEG (180./MPI)

#include 
#include 
sử dụng không gian tên cv;
sử dụng không gian tên std;

int chính()
{
    Mat1b imgGrayScale = (Mat1b(2, 5) << 50, 100, 150, 200, 250,
                                            50, 100, 150, 200, 250);

    vector deltaP(imgGrayScale.cols);
    vector angle(imgGrayScale.cols);
    vector coeff(imgGrayScale.cols);
    int col;


    for (col = 0; col < imgGrayScale.cols; ++col)
    {
        //cout << "position x = " << col << endl;
        deltaP[col] = imgGrayScale.at(0, col);
        //cout << "luminance = " << deltaP[col] << endl;

        angle[col] = acos(deltaP[col] / 255);
        //cout << "angle =" << angle[col] << endl;

        coeff[col] = (1 / cos(angle[col]));
        cout << "coeff = " << coeff[col] << endl;
    }

    int width = imgGrayScale.size().width;
    int height = imgGrayScale.size().height;

    int width2 = width * 5;


    Mat1f Z(height, width2, 0.f);


    for (int r = 0; r < imgGrayScale.rows; r++)
    {
        int idx_lum = 0;
        int idx_coef = 0;
        int idx_z = 0;

        vector coef = coeff;

        // Set all values in Z to the last value in imgGrayScale
        Z.row(r) = imgGrayScale(r, imgGrayScale.cols-1);

        trong khi (đúng)
        {
            int c = int(coef[idx_coef]);

            for (int i = 0; i < c; ++i)
            {
                Z(r, idx_z++) = imgGrayScale(r, idx_lum);
            }


            float alpha = fmod(coef[idx_coef], 1.f);
            float beta = 1.f - alpha;

            Z(r, idx_z++) = (alpha * imgGrayScale(r, idx_lum) + beta * imgGrayScale(r, idx_lum + 1));

            idx_coef++;
            idx_lum++;
            coef[idx_coef] = coef[idx_coef] - beta;

            if (idx_lum >= imgGrayScale.cols - 1 || idx_coef >= coef.size() - 1)
            {

                int cc = int(coef[idx_coef]);
                for (int i = 0; i < cc; ++i)
                {
                    Z(r, idx_z++) = imgGrayScale(r, idx_lum);
                }
                idx_coef = 0;
                phá vỡ;

            }

        }
    }

    Mat1b ZZ;
    Z.convertTo(ZZ, CV_8U);

    cout << "Float values:" << endl;
    cout << Z << endl << endl;

    cout << "Uchar values:" << endl;
    cout << ZZ << endl << endl;

    namedWindow("m", CV_WINDOW_AUTOSIZE);
    imshow("m", Z);
    imwrite("lumianacetest.png", ZZ);
    waitKey();

    trả về 0;
}

关于c++ - 图像处理 : luminance weighted 2，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/35305206/