如何使用 C++ 从 OpenCV 中的多通道图像中读取像素值？
我们已经声明了三个名为“blue_Channel”、“green_channel”和“red_channel”的变量。这些变量的目标是保存像素值。我们在“for循环”中使用了这些变量。然后我们声明了一个名为“color_Image_Matrix”的矩阵。
该方法的语法是：
blue_Channel = color_image_Matrix.at(i, j)[0];
我们使用了BGR图像。它有三个通道。这些通道保持特定的顺序，color_image_Matrix.at
blue_Channel=color_image_Matrix.at(30, 35) [0];
这意味着变量“blue_Channel”将具有位于(30,35)处的第一个通道的像素值。这就是我们如何使用OpenCV访问像素值。
以下程序读取不同RGB图像的像素值，并在控制台窗口中显示不同通道像素的值。
示例
#include输出结果#include using namespace std; using namespace cv; int main() { int blue_Channel; int green_Channel; int red_Channel; Mat color_image_Matrix; //Declaring a matrix to load the image// color_image_Matrix = imread("colors.jpg"); //loading image in the matrix// //Beginning of for loop to read pixel values of blue channel// for (int i = 0; i < color_image_Matrix.rows; i++)//loop for rows//{ for (int j = 0; j < color_image_Matrix.cols; j++) { //loop for columns// blue_Channel = color_image_Matrix.at (i, j)[0]; //To read the value of firstchannel.Herethe blue channel is first channel// cout << "Value of pixel of blue channel" << "(" << i << "," << j << ")" << "=" << blue_Channel << endl; //showing the values in console window// } } //End of for loop to read pixel values of blue channel// //Beginning of for loop to read pixel values of green channel// for (int i = 0; i < color_image_Matrix.rows; i++)//loop for rows//{ for (int j = 0; j < color_image_Matrix.cols; j++)//loop for columns//{ green_Channel = color_image_Matrix.at (i, j)[1]; //To read the value of firstchannel.Herethe green channel is first channel// cout << "Value of pixel of green channel" << "(" << i << "," << j << ")" << "=" << blue_Channel << endl;//showing the values in console window// } } //End of for loop to read pixel values of green channel// //Beginning of for loop to read pixel values of red channel// for (int i = 0; i < color_image_Matrix.rows; i++)//loop for rows//{ for (int j = 0; j < color_image_Matrix.cols; j++)//loop for columns//{ red_Channel = color_image_Matrix.at (i, j)[2]; //To read the value of firstchannel.Herethe red channel is first channel// cout << "Value of pixel of red channel" << "(" << i << "," << j << ")" << "=" << blue_Channel << endl; //showing the values in console window// } } //End of for loop to read pixel values of red channel// if (waitKey(0)==27); cout << "Image read successfully…!"; return 0; }
Image read successfully...
该程序需要几分钟才能运行。它从不同的通道读取每个像素值。这就是为什么需要几分钟才能显示完整结果的原因。