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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.
kgauss, kdog, klog, isobel, iconv
© 1990-2012 Peter Corke.