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load the img into mat ..read the r g b s pixel wise ..and use the condition if (r == 0 && g == 255 && b == 0) to make that pixel to 0..You can change the logic according to ur img intensities.

cv::Mat img = cv::imread("inputPath");//3channel imagepath byte* img_ptr = (byte)img.data; int r, g, b; for (int y = 0; y < img.rows; y++) { for (int x = 0; x < img.cols; x++) { r = img_ptr[x * 3 + 2 + yimg.cols * 3]; g = img_ptr[x * 3 + 2 + yimg.cols * 3]; b = img_ptr[x * 3 + 2 + yimg.cols * 3];

        if (r == 0 && g == 255 && b == 0)
        {
            img_ptr[x * 3 + 2 + y*img.cols * 3]=0;
            img_ptr[x * 3 + 2 + y*img.cols * 3]=0;
            img_ptr[x * 3 + 2 + y*img.cols * 3]=0;
        }
    }
}
cv::imwrite("outputPath", img);
img.release();

load the img into mat ..read the r g b s pixel wise ..and use the condition if (r == 0 && g == 255 && b == 0) to make that pixel to 0..You can change the logic according to ur img intensities.

{;

cv::Mat img = cv::imread("inputPath");//3channel imagepath imagepath;

byte* img_ptr = (byte)img.data;
    (byte*)img.data;
int r, g, b;
 for (int y = 0; y < img.rows; y++)
 {
     for (int x = 0; x < img.cols; x++)
     {
         r = img_ptr[x * 3 + 2 + yimg.cols y*img.cols * 3];
            g = img_ptr[x * 3 + 2 + yimg.cols g = img_ptr[x * 3 + 2 + y*img.cols * 3];
            b = img_ptr[x * 3 + 2 + yimg.cols * 3];
 
b = img_ptr[x * 3 + 2 + y*img.cols * 3];

        if (r == 0 && g == 255 && b == 0)
        {
            img_ptr[x * 3 + 2 + y*img.cols * 3]=0;
            img_ptr[x * 3 + 2 + y*img.cols * 3]=0;
            img_ptr[x * 3 + 2 + y*img.cols * 3]=0;
        }
    }
}
cv::imwrite("outputPath", img);
img.release();
  
}