GaussianDerivative:

Path: Imaging/ImageMatching

% Generate an image derivative using a Gaussian kernal. 
   This does derivatives in two directions in both x and y.

   Since version 8.
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   Form:
       GaussianDerivative;
   d = GaussianDerivative( q, sigma, eps )
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   ------
   Inputs
   ------
   q              (n,m)        Grayscale image
   sigma          (1,1)        Standard deviation of the Gaussian kernal
   eps            (1,1)        Epsilon

   -------
   Outputs
   -------
   dX             (n+4,m+4)	Derivative in the x direction
   dY             (n+4,m+4)	Derivative in the y direction

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Children:

Imaging: ImageProcessing/ColorMapGrayScale
Imaging: ImageProcessing/GaussianKernal
Imaging: ImageProcessing/Imager
Imaging: Utilities/ReadImage

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