Package new_smoothgradient_slimpy

This is a very straight forward linear operator which computes the derivatives of the input function with a special 3x3 filter which is more resistant to noise than the usual Sobel filter. More...

Classes
class	smoothgradientX
	Calculates a relatively robust gradient operator on its input Note how smoothgradientX inherits all of its linear operator functionality from LinearOperatorStruct. More...

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Detailed Description

This is a very straight forward linear operator which computes the derivatives of the input function with a special 3x3 filter which is more resistant to noise than the usual Sobel filter.

smoothgradientX is a subclass of LinearOperatorStruct.

 from slimpy_base.Core.User.linop.rclinOp import linearop_r as LinearOperatorStruct
 import os, sys, re, string, glob, shutil 
 
 #===============================================================================
 # Linear operator class itself 
 #===============================================================================
 class smoothgradientX( LinearOperatorStruct ):
     \"""  
     Calculates a relatively robust gradient operator on its input
     Note how smoothgradientX inherits all of its linear operator functionality 
     from LinearOperatorStruct. after the initialization is done of
     smoothgradientX SLIMpy will do the rest of the work.
     \"""
     name = "smoothgradientX"
     
     def __init__( self, domain ):
         
         kparams = dict( adj=False )
 
         LinearOperatorStruct.__init__( self, domain, **kparams )