aimsalgo
5.1.2
Neuroimaging image processing
smoother.h
Go to the documentation of this file.
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/* This software and supporting documentation are distributed by
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* Institut Federatif de Recherche 49
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* CEA/NeuroSpin, Batiment 145,
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* 91191 Gif-sur-Yvette cedex
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* France
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*
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* This software is governed by the CeCILL-B license under
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* French law and abiding by the rules of distribution of free software.
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* You can use, modify and/or redistribute the software under the
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* terms of the CeCILL-B license as circulated by CEA, CNRS
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* and INRIA at the following URL "http://www.cecill.info".
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*/
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// REM about scale (t) and variance (s):
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// When using a Gaussian filtering we use the following convention:
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// t=s^2.
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// It corresponds to the heat equation: dI/dt=0.5*Laplacian(I)
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#ifndef AIMS_PRIMALSKETCH_SMOOTHER_H
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#define AIMS_PRIMALSKETCH_SMOOTHER_H
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#include <
aims/config/aimsalgo_config.h
>
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namespace
aims
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{
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template
<
typename
Geom,
typename
Text>
class
Smoother
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{
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protected
:
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public
:
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Smoother
() {}
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virtual
~Smoother
() {}
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virtual
Text
doSmoothing
(
const
Text & ima,
int
maxiter,
bool
verbose=
false
)=0;
// smooth operator...
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virtual
float
dt
() {
return
0.0;}
//smooooth operatooor... // virtuel pur
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virtual
bool
optimal
() {
return
false
;}
// optimal smoothing method:
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// 0 -> from original image (ex: convolution)
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// 1 -> from previous scale (ex: diffusion)
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};
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}
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#endif
aimsalgo_config.h
aims::Smoother
Definition:
smoother.h:49
aims::Smoother::Smoother
Smoother()
Definition:
smoother.h:55
aims::Smoother::optimal
virtual bool optimal()
Definition:
smoother.h:59
aims::Smoother::doSmoothing
virtual Text doSmoothing(const Text &ima, int maxiter, bool verbose=false)=0
aims::Smoother::~Smoother
virtual ~Smoother()
Definition:
smoother.h:56
aims::Smoother::dt
virtual float dt()
Definition:
smoother.h:58
aims
aims
primalsketch
smoother.h
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