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Arya Akmal
Arya Akmal
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I am trying to use scipy.ndimage.correlate to replicate the output of IDL convol() function. The IDL function only calculates elements where there is full overlap between the input and the kernel.

So, for example if

input = np.array([[1,2,3],[4,5,6],[7,8,9]]] 
kernel = np.array([[0,0,0],[0,1,0],[0,0,0]])

scipy.ndarrayndimage.correlate(input, kernel) = [[0,0,0],[0,5,0],[0,0,0]]

Is this possible?

I am trying to use scipy.ndimage.correlate to replicate the output of IDL convol() function. The IDL function only calculates elements where there is full overlap between the input and the kernel.

So, for example if

input = np.array([[1,2,3],[4,5,6],[7,8,9]]] 
kernel = np.array([[0,0,0],[0,1,0],[0,0,0]])

scipy.ndarray.correlate(input, kernel) = [[0,0,0],[0,5,0],[0,0,0]]

Is this possible?

I am trying to use scipy.ndimage.correlate to replicate the output of IDL convol() function. The IDL function only calculates elements where there is full overlap between the input and the kernel.

So, for example if

input = np.array([[1,2,3],[4,5,6],[7,8,9]]] 
kernel = np.array([[0,0,0],[0,1,0],[0,0,0]])

scipy.ndimage.correlate(input, kernel) = [[0,0,0],[0,5,0],[0,0,0]]

Is this possible?

Source Link
Arya Akmal
Arya Akmal
  • 13
  • 4

Using scipy.ndimage.correlate only calculate elements with full overlap

I am trying to use scipy.ndimage.correlate to replicate the output of IDL convol() function. The IDL function only calculates elements where there is full overlap between the input and the kernel.

So, for example if

input = np.array([[1,2,3],[4,5,6],[7,8,9]]] 
kernel = np.array([[0,0,0],[0,1,0],[0,0,0]])

scipy.ndarray.correlate(input, kernel) = [[0,0,0],[0,5,0],[0,0,0]]

Is this possible?