accessing pixel value of gray scale image in OpenCV
I just want to get my concept clear that - is accessing all the matrix elements of cv::Mat means I am actually accessing all the pixel values of an image (grayscale - 1 channel and for colour - 3 channels)? Like suppose my code for printing the values of matrix of gray scale that is 1 channel image loaded and type CV_32FC1, is as shown below, then does that mean that I am accessing only the members of the cv::mat or I am accessing the pixel values of the image (with 1 channel - grayscale and type CV_32FC1) also?
cv::Mat img = cv::imread("lenna.png");
for(int j=0;j<img.rows;j++)
{
for (int i=0;i<img.cols;i++)
{
std::cout << "Matrix of image loaded is: " << img.at<uchar>(i,j);
}
}
I am quite new to image processing with OpenCV and want to clear my idea. If I am wrong, then how can I access each pixel value of an image?
You are accessing the elements of the matrix and you are accessing the image itself also. In your code, after you do this:
cv::Mat img = cv::imread("lenna.png");
the matrix img represents the image lenna.png. ( if it is successfully opened )
Why don't you experiment yourself by changing some of the pixel values:
cv::Mat img = cv::imread("lenna.png");
//Before changing
cv::imshow("Before",img);
//change some pixel value
for(int j=0;j<img.rows;j++)
{
for (int i=0;i<img.cols;i++)
{
if( i== j)
img.at<uchar>(j,i) = 255; //white
}
}
//After changing
cv::imshow("After",img);
Note: this only changes the image values in volatile memory, that is where the mat img is currently loaded. Modifying the values of the mat img, not going to change value in your actual image "lenna.png",which is stored in your disk, (unless you do imwrite)
But in case of 1-channel grayscale image it is CV_8UC1 not CV_32FC1
为了获得灰度图像的像素值（0到255之间的整数），还需要对答案进行类型化。
int pixelValue = (int)img.at<uchar>(i,j);
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