I am well acquainted with the IPL-image format used in OpenCV 1.1. However i am using the latest 2.4 version and want to switch to the C++ interface of OpenCV. Here is the method by which i access the pixels in an image:
int step = img->widthStep;
int height = img->height;
int width = img->width;
unsigned char* data = (unsigned char*) img->imageData;
for (int i=0; i<height; i++)
{
for (int j=0; j<step; j+=3) // 3 is the number of channels.
{
if (data[i*step + j] > 200) // For blue
data[i*step + j] = 255;
if (data[i*step + j + 1] > 200) // For green
data[i*step + j + 1] = 255;
if (data[i*step + j + 2] > 200) // For red
data[i*step + j + 2] = 255;
}
}
I need help for converting this exact code block with the Mat structure. I find several functions here and there but it will be very helpful if i get the exact conversion of the above few lines as a whole.
// Mat mat; // a bgr, CV_8UC3 mat
for (int i=0; i<mat.rows; i++)
{
// get a new pointer per row. this replaces fumbling with widthstep, etc.
// also a pointer to a Vec3b pixel, so no need for channel offset, either
Vec3b *pix = mat.ptr<Vec3b>(i);
for (int j=0; j<mat.cols; j++)
{
Vec3b & p = pix[j];
if ( p[0] > 200 ) p[0] = 255;
if ( p[1] > 200 ) p[1] = 255;
if ( p[2] > 200 ) p[2] = 255;
}
}
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