Convolution kernel
Applies to: general, python
A convolution kernel is a small set of weights slid over data to filter, blur, detect edges, or compute local features.
y[i] = np.sum(x[i:i+3] * kernel)
See also: convolution, fft
Applies to: general, python
A convolution kernel is a small set of weights slid over data to filter, blur, detect edges, or compute local features.
y[i] = np.sum(x[i:i+3] * kernel)
See also: convolution, fft