filter_DOOG_2D

PURPOSE ^

2D difference of offset Gaussian (DooG) filters.

SYNOPSIS ^

function dG = filter_DOOG_2D( r, sigx, sigy, nderivs, show )

DESCRIPTION ^

 2D difference of offset Gaussian (DooG) filters.

 Creates a 2D derivative of Gaussian kernel.  Use primarily for visualization purposes.
 For filtering better to use the indvidiual seperable kernels for efficiency purposes.
 
 INPUTS
   r       - final mask will be 2r+1 x 2r+1
   sigx    - sigma for Gaussian in x direction
   sigy    - sigma for Gaussian in y direction
   nderivs - order of derivative along each dimension
   show    - [optional] figure to use for display (no display if == 0)

 OUTPUTS
   dG      - The derivative of Gaussian mask

 EXAMPLE
   dG = filter_DOOG_2D( 20, 3, 3, [1,1], 1 );

 DATESTAMP
   29-Sep-2005  2:00pm

 See also FILTER_DOOG_1D, FILTER_DOOG_3D, FILTER_DOG_2D, FILTER_GABOR_2D

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:
Generated on Wed 03-May-2006 23:48:50 by m2html © 2003