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EMAN::CCDNormProcessor Class Reference

Try to normalize the 4 quadrants of a CCD image. More...

#include <processor.h>

Inheritance diagram for EMAN::CCDNormProcessor:

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Collaboration diagram for EMAN::CCDNormProcessor:

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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

ProcessorNEW ()

Static Public Attributes

const string NAME = "filter.ccdnorm"

Detailed Description

Try to normalize the 4 quadrants of a CCD image.

Author:
Deepy Mann <dsmann@bcm.tmc.edu>
Date:
9-2005
Parameters:
width number of pixels on either side of the seam to sample

Definition at line 6386 of file processor.h.


Member Function Documentation

virtual string EMAN::CCDNormProcessor::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 6401 of file processor.h.

06402                 {
06403                         return "normalize the 4 quadrants of a CCD image";
06404                 }

virtual string EMAN::CCDNormProcessor::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 6391 of file processor.h.

06392                 {
06393                         return NAME;
06394                 }

virtual TypeDict EMAN::CCDNormProcessor::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 6406 of file processor.h.

References EMAN::TypeDict::put().

06407                 {
06408                         TypeDict d;
06409                         d.put("width", EMObject::INT, "number of pixels on either side of the seam to sample");
06410                         return d;
06411                 }

Processor* EMAN::CCDNormProcessor::NEW  )  [inline, static]
 

Definition at line 6396 of file processor.h.

06397                 {
06398                         return new CCDNormProcessor();
06399                 }

void CCDNormProcessor::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 7829 of file processor.cpp.

References EMAN::Log::error(), EMAN::EMData::get_col(), EMAN::EMData::get_data(), EMAN::EMData::get_row(), EMAN::EMData::get_value_at(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), EMAN::Log::logger(), EMAN::Log::set_level(), EMAN::EMData::set_value_at_fast(), x, and y.

07830 {
07831         if (!image) {
07832           Log::logger()->set_level(Log::ERROR_LOG);
07833           Log::logger()->error("Null image during call to CCDNorm\n");
07834           return;
07835         }
07836         if (image->get_zsize() > 1) {
07837           Log::logger()->set_level(Log::ERROR_LOG);
07838           Log::logger()->error("CCDNorm does not support 3d images\n");
07839           return;
07840         }
07841 
07842         int xs = image->get_xsize();
07843         int ys = image->get_ysize();
07844 
07845         // width of sample area on either side of the seams
07846         int width = params["width"];
07847 
07848         width%=(xs > ys ? xs/2 : ys/2);  // make sure width is a valid value
07849         if (width==0) {
07850           width=1;
07851         }
07852 
07853         // get the 4 "seams" of the image
07854         float *left, *right, *top, *bottom;
07855 
07856         double *temp;
07857         temp= (double*)malloc((xs > ys ? xs*width : ys*width)*sizeof(double));
07858         if (temp==NULL) {
07859           Log::logger()->set_level(Log::ERROR_LOG);
07860           Log::logger()->error("Could not allocate enough memory during call to CCDNorm\n");
07861           return;
07862         }
07863 
07864         int x, y, z;
07865 
07866         // the mean values of each seam and the average
07867         double mL,mR,mT,mB;
07868 
07869         // how much to shift each seam
07870         double nl,nr,nt,nb;
07871 
07872         // quad. shifting amount
07873         double q1,q2,q3,q4;
07874 
07875         // calc. the mean for each quadrant
07876         for (z=0; z<width; z++) {
07877           left = image->get_col(xs/2 -1-z)->get_data();
07878           for (y=0; y<ys; y++)
07879             temp[z*ys+y]=left[y];
07880         }
07881         mL=gsl_stats_mean(temp,1,ys*width);
07882 
07883         for (z=0; z<width; z++) {
07884           right = image->get_col(xs/2 +z)->get_data();
07885           for (y=0; y<ys; y++)
07886             temp[z*ys+y]=right[y];
07887         }
07888         mR=gsl_stats_mean(temp,1,ys*width);
07889 
07890         for (z=0; z<width; z++) {
07891           top = image->get_row(ys/2 -1-z)->get_data();
07892           for (x=0; x<xs; x++)
07893             temp[z*xs+x]=top[x];
07894         }
07895         mT=gsl_stats_mean(temp,1,xs*width);
07896 
07897         for (z=0; z<width; z++) {
07898           bottom = image->get_row(ys/2 +z)->get_data();
07899           for (x=0; x<xs; x++)
07900             temp[z*xs+x]=bottom[x];
07901         }
07902         mB=gsl_stats_mean(temp,1,xs*width);
07903 
07904         free(temp);
07905 
07906         nl=(mL+mR)/2-mL;
07907         nr=(mL+mR)/2-mR;
07908         nt=(mT+mB)/2-mT;
07909         nb=(mT+mB)/2-mB;
07910 
07911         q1=nl+nt;
07912         q2=nr+nt;
07913         q3=nr+nb;
07914         q4=nl+nb;
07915 
07916         // change the pixel values
07917         for (x = 0; x < xs / 2; x++)
07918           for (y = 0; y < ys / 2; y++) {
07919             image->set_value_at_fast(x, y, image->get_value_at(x, y) + static_cast<float>(q1));
07920           }
07921         for (x = xs / 2; x < xs; x++)
07922           for (y = 0; y < ys / 2; y++) {
07923             image->set_value_at_fast(x, y, image->get_value_at(x, y) + static_cast<float>(q2));
07924           }
07925         for (x = xs / 2; x < xs; x++)
07926           for (y = ys / 2; y < ys; y++) {
07927             image->set_value_at_fast(x, y, image->get_value_at(x, y) + static_cast<float>(q3));
07928           }
07929         for (x = 0; x < xs / 2; x++)
07930           for (y = ys / 2; y < ys; y++) {
07931             image->set_value_at_fast(x, y, image->get_value_at(x, y) + static_cast<float>(q4));
07932           }
07933 
07934 }


Member Data Documentation

const string CCDNormProcessor::NAME = "filter.ccdnorm" [static]
 

Definition at line 205 of file processor.cpp.


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