Below is my code, and am I right using like this?
vector<double> filter1; //row vector
sepFilter2D(src, convolvedImg, CV_64FC3, filter1, filter1, Point(-1, -1), 0.0, BORDER_DEFAULT);
//filter1 = [0.00443305 0.0540056 0.242036 0.39905 0.242036 0.0540056 0.00443305]
Always refer to the documentation. According to it,
Applies a separable linear filter to an image.
The function applies a separable linear filter to the image. That is, first, every row of src is filtered with the 1D kernel kernelX. Then, every column of the result is filtered with the 1D kernel kernelY. The final result shifted by delta is stored in dst .
You are the one defining the values of kernelX and kernelY. If you look into the documentation, you'll see they are of type InputArray. This explains the data structure of InputArray. In short, kernelX and kernelY can either be Mat, Mat_<T>, Matx<T, m, n>, std::vector<T>, std::vector<std::vector<T>>, std::vector<Mat>, std::vector<Mat_<T>>, UMat, std::vector<UMat> or double
Asked: 2019-04-26 10:28:09 -0600
Seen: 207 times
Last updated: Apr 26 '19
