DiffusionFilter Class Reference

#include <filters.h>

Inheritance diagram for DiffusionFilter:

Collaboration diagram for DiffusionFilter:

Public Member Functions
void	readParams (XmippProgram *program)
void	show ()
void	apply (MultidimArray< double > &img)
Public Member Functions inherited from XmippFilter
virtual	~XmippFilter ()

Static Public Member Functions
static void	defineParams (XmippProgram *program)

Detailed Description

Definition at line 1538 of file filters.h.

Member Function Documentation

apply()

void DiffusionFilter::apply ( MultidimArray< double > &  img )

virtual

Apply the filter to an image or volume

Implements XmippFilter.

Definition at line 3775 of file filters.cpp.

{
    MultidimArray<double> surface_strength;
    MultidimArray<double> edge_strength;
    smoothingShah(img, surface_strength, edge_strength, Shah_weight, Shah_outer,
                  Shah_inner, Shah_refinement);
    if (Shah_edge)
        img = edge_strength;
    else
        img = surface_strength;
}

defineParams()

void DiffusionFilter::defineParams ( XmippProgram *  program )

static

Define the parameters for use inside an Xmipp program

Definition at line 3725 of file filters.cpp.

{
    program->addParamsLine("== Anisotropic diffusion ==");
    program->addParamsLine(
        "  [--diffusion]              : Use anisotropic diffusion filter.");
    program->addParamsLine(
        "  [--shah_iter+ <outer=10> <inner=1> <refinement=1>]  : Diffusion outer, inner and refinement iterations");
    program->addParamsLine("     requires --diffusion;");
    program->addParamsLine(
        "  [--shah_weight+ <w0=0> <w1=50> <w2=50> <w3=0.02>]:Diffusion weights");
    program->addParamsLine(
        "                             :  w0 = data matching ");
    program->addParamsLine(
        "                             :  w1 = 1st derivative smooth ");
    program->addParamsLine(
        "                             :  w2 = edge strength ");
    program->addParamsLine(
        "                             :  w3 = edge smoothness ");
    program->addParamsLine("     requires --diffusion;");
    program->addParamsLine(
        "  [--shah_only_edge+]        : Produce the edge image of the diffusion");
    program->addParamsLine("     requires --diffusion;");
}

readParams()

void DiffusionFilter::readParams ( XmippProgram *  program )

virtual

Read from program command line

Reimplemented from XmippFilter.

Definition at line 3750 of file filters.cpp.

{
    Shah_weight.resizeNoCopy(4);
    Shah_outer = program->getIntParam("--shah_iter", 0);
    Shah_inner = program->getIntParam("--shah_iter", 1);
    Shah_refinement = program->getIntParam("--shah_iter", 2);
    Shah_weight(0) = program->getDoubleParam("--shah_weight", 0);
    Shah_weight(1) = program->getDoubleParam("--shah_weight", 1);
    Shah_weight(2) = program->getDoubleParam("--shah_weight", 2);
    Shah_weight(3) = program->getDoubleParam("--shah_weight", 3);
    Shah_edge = program->checkParam("--shah_only_edge");
}

show()

void DiffusionFilter::show ( )

virtual

Show parameters

Reimplemented from XmippFilter.

Definition at line 3763 of file filters.cpp.

{
    std::cout << " Shah difussion\n" << " Outer iterations " << Shah_outer
    << std::endl << " Inner iterations " << Shah_inner << std::endl
    << " Refinement interations " << Shah_refinement << std::endl
    << " Weight " << Shah_weight.transpose() << std::endl;
    if (Shah_edge)
        std::cout << " Generating edge image\n";

}

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The documentation for this class was generated from the following files:

• xmipp/libraries/data/filters.h
• xmipp/libraries/data/filters.cpp