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kdgauss

Derivative of Gaussian kernel

k = kdgauss(sigma) is a 2-dimensional derivative of Gaussian kernel (WxW) of width (standard deviation) sigma and centred within the matrix k whose half-width H = 3xSIGMA and W=2xH+1.

k = kdgauss(sigma, H) as above but the half-width is explictly specified.

Notes

See also

kgauss, kdog, klog, isobel, iconv


 

© 1990-2012 Peter Corke.