Path: Imaging/ImageMatching
% Generate an image derivative using a Gaussian kernal.
This does derivatives in two directions in both x and y.
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Form:
GaussianDerivative;
d = GaussianDerivative( q, sigma, eps )
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Inputs
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q (n,m) Grayscale image
sigma (1,1) Standard deviation of the Gaussian kernal
eps (1,1) Epsilon
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Outputs
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dX (n+4,m+4) Derivative in the x direction
dY (n+4,m+4) Derivative in the y direction
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Common: Graphics/ColorMapGrayScale Imaging: ImageProcessing/GaussianKernal Imaging: ImageProcessing/Imager Imaging: Utilities/ReadImage
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