EMAN::IterBinMaskProcessor Class Reference

Iterative expansion of a binary mask, val1 is number of pixels to expand, if val2!=0 will make a soft Gaussian edge starting after val2 pixels. More...

#include <processor.h>

Inheritance diagram for EMAN::IterBinMaskProcessor:

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Collaboration diagram for EMAN::IterBinMaskProcessor:

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List of all members.

Public Member Functions
virtual void	process_inplace (EMData *image)
	To process an image in-place.
virtual string	get_name () const
	Get the processor's name.
virtual string	get_desc () const
	Get the descrition of this specific processor.
virtual TypeDict	get_param_types () const
	Get processor parameter information in a dictionary.
Static Public Member Functions
static Processor *	NEW ()

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Detailed Description

Iterative expansion of a binary mask, val1 is number of pixels to expand, if val2!=0 will make a soft Gaussian edge starting after val2 pixels.

Parameters:

	val1	number of pixels to expand
	val2	number of Gaussian pixels to expand, following the first expansion

Definition at line 5380 of file processor.h.

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Member Function Documentation

void IterBinMaskProcessor::process_inplace

(

EMData *

image

)

[virtual]

To process an image in-place.

For those processors which can only be processed out-of-place, override this function to just print out some error message to remind user call the out-of-place version.

Parameters:

image

The image to be processed.

Implements EMAN::Processor.

Definition at line 6082 of file processor.cpp.

References EMAN::EMData::get_data(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), LOGWARN, EMAN::Processor::params, t, and EMAN::EMData::update().

{
        if (!image) {
                LOGWARN("NULL Image");
                return;
        }

        float val1 = params["val1"];
        float val2 = params["val2"];

        int nx = image->get_xsize();
        int ny = image->get_ysize();
        int nz = image->get_zsize();
        EMData *image2 = new EMData(nx,ny,nz);

        // Got a compile warning complaining that these things were never used. Hope I didn't break anything - apologies if so (d.woolford)
//      float *dat = image->get_data();
//      float *dat2 = image2->get_data();


        float *d = image->get_data();
        float *d2 = image2->get_data();

        const int nxy = nx * ny;
        size_t size = nx * ny * nz;

        // TODO: THIS IS EXTREMELY INEFFICIENT
        if (nz != 1) {
                for (int l = 1; l <= (int) val1+val2; ++l) {
                        for (size_t i=0; i<size; i++) d2[i]=d[i];
                        for (int k = 1; k < nz - 1; ++k) {
                                for (int j = 1; j < ny - 1; ++j) {
                                        for (int i = 1; i < nx - 1; ++i) {
                                                size_t t = i + j*nx+k*nx*ny;
                                                if (d[t]) continue;
                                                if (d2[t - 1] || d2[t + 1] || d2[t + nx] || d2[t - nx] || d2[t + nxy] || d2[t - nxy]) d[t] = (float) l + 1;
                                        }
                                }
                        }
                }
        }
        else {
                for (int l = 1; l <= (int) val1+val2; ++l) {
                        for (size_t i=0; i<size; i++) d2[i]=d[i];
                        for (int j = 1; j < ny - 1; ++j) {
                                for (int i = 1; i < nx - 1; ++i) {
                                        size_t t = i + j * nx;
                                        if (d[t]) continue;
                                        if (d2[t - 1] || d2[t + 1] || d2[t + nx] || d2[t - nx]) d[t] = (float) l + 1;
                                }
                        }
                }
        }

        vector<float> vec;
        for (int i=0; i<val1+2; i++) vec.push_back(1.0);
        for (int i=0; i<val2; i++) {
                vec.push_back(exp(-pow(2.0f*i/(val2),2.0f)));
//              printf("%f\n",exp(-pow(2.0*i/(val1-val2),2.0)));
        }
        for (size_t i = 0; i < size; i++) if (d[i]) d[i]=vec[(int)d[i]];

        image->update();
        delete image2;
}

virtual string EMAN::IterBinMaskProcessor::get_name

(

)

const [inline, virtual]

Get the processor's name.

Each processor is identified by a unique name.

Returns:

The processor's name.

Implements EMAN::Processor.

Definition at line 5385 of file processor.h.

                {
                        return "mask.addshells.gauss";
                }

virtual string EMAN::IterBinMaskProcessor::get_desc

(

)

const [inline, virtual]

Get the descrition of this specific processor.

This function must be overwritten by a subclass.

Returns:

The description of this processor.

Implements EMAN::Processor.

Definition at line 5390 of file processor.h.

                {
                        return "Iterative expansion of a binary mask, val1 is number of pixels to expand, if val2!=0 will make a soft Gaussian edge starting after val2 pixels.";
                }

static Processor* EMAN::IterBinMaskProcessor::NEW

(

)

[inline, static]

Definition at line 5395 of file processor.h.

                {
                        return new IterBinMaskProcessor();
                }

virtual TypeDict EMAN::IterBinMaskProcessor::get_param_types

(

)

const [inline, virtual]

Get processor parameter information in a dictionary.

Each parameter has one record in the dictionary. Each record contains its name, data-type, and description.

Returns:

A dictionary containing the parameter info.

Reimplemented from EMAN::Processor.

Definition at line 5400 of file processor.h.

References EMAN::EMObject::FLOAT, and EMAN::TypeDict::put().

                {
                        TypeDict d;
                        d.put("val1", EMObject::FLOAT, "number of pixels to expand");
                        d.put("val2", EMObject::FLOAT, "number of Gaussian pixels to expand, following the first expansion");
                        return d;
                }

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

• processor.h
• processor.cpp