ndarray-convolve
Convolutions and cross correlations on ndarrays.
Example
//Read in test imagevar lena = //Generate a 5-point Laplace filtervar filter = 0 1 0 1 -4 1 0 1 0 //Convolve them togetherlena filter
This produces the following array:

Install
npm install ndarray-convolve
API
var convolve =
convolve( ... )
Performs a convolution between two images with zero boundary conditions. As long as it does not cause unnecessary cropping, the kernel (b
) will be assumed to have its origin in the center of the kernel (for even kernels, slightly to the right of the center, for example [1,2,3,4]
would be assumed to have it origin at 3). There are four ways you can call this function:
convolve(a, b)
Convolves a
and b
storing the result in a
convolve(out, a, b)
Convolves a
and b
storing the result in out
convolve(a_r, a_i, b_r, b_i)
Convolves two complex arrays storing the result in a_r, a_i
convolve(out_r, out_i, a_r, a_i, b_r, b_i)
Convolves two complex array storing the result in out_r, out_i
convolve.wrap( ... )
Convolves two arrays with periodic boundary conditions. Same convention as convolve
convolve.correlate( ... )
Cross correlates two arrays with zero boundary conditions. Same convention.
convolve.correlate.wrap( ... )
Cross correlates two arrays with wrapped boundary conditions. Same convention again.
Credits
(c) 2013 Mikola Lysenko. MIT License