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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 6682 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 6697 of file processor.h.

06698                 {
06699                         return "normalize the 4 quadrants of a CCD image";
06700                 }

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 6687 of file processor.h.

06688                 {
06689                         return NAME;
06690                 }

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 6702 of file processor.h.

References EMAN::TypeDict::put().

06703                 {
06704                         TypeDict d;
06705                         d.put("width", EMObject::INT, "number of pixels on either side of the seam to sample");
06706                         return d;
06707                 }

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

Definition at line 6692 of file processor.h.

06693                 {
06694                         return new CCDNormProcessor();
06695                 }

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 8164 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.

08165 {
08166         if (!image) {
08167           Log::logger()->set_level(Log::ERROR_LOG);
08168           Log::logger()->error("Null image during call to CCDNorm\n");
08169           return;
08170         }
08171         if (image->get_zsize() > 1) {
08172           Log::logger()->set_level(Log::ERROR_LOG);
08173           Log::logger()->error("CCDNorm does not support 3d images\n");
08174           return;
08175         }
08176 
08177         int xs = image->get_xsize();
08178         int ys = image->get_ysize();
08179 
08180         // width of sample area on either side of the seams
08181         int width = params["width"];
08182 
08183         width%=(xs > ys ? xs/2 : ys/2);  // make sure width is a valid value
08184         if (width==0) {
08185           width=1;
08186         }
08187 
08188         // get the 4 "seams" of the image
08189         float *left, *right, *top, *bottom;
08190 
08191         double *temp;
08192         temp= (double*)malloc((xs > ys ? xs*width : ys*width)*sizeof(double));
08193         if (temp==NULL) {
08194           Log::logger()->set_level(Log::ERROR_LOG);
08195           Log::logger()->error("Could not allocate enough memory during call to CCDNorm\n");
08196           return;
08197         }
08198 
08199         int x, y, z;
08200 
08201         // the mean values of each seam and the average
08202         double mL,mR,mT,mB;
08203 
08204         // how much to shift each seam
08205         double nl,nr,nt,nb;
08206 
08207         // quad. shifting amount
08208         double q1,q2,q3,q4;
08209 
08210         // calc. the mean for each quadrant
08211         for (z=0; z<width; z++) {
08212           left = image->get_col(xs/2 -1-z)->get_data();
08213           for (y=0; y<ys; y++)
08214             temp[z*ys+y]=left[y];
08215         }
08216         mL=gsl_stats_mean(temp,1,ys*width);
08217 
08218         for (z=0; z<width; z++) {
08219           right = image->get_col(xs/2 +z)->get_data();
08220           for (y=0; y<ys; y++)
08221             temp[z*ys+y]=right[y];
08222         }
08223         mR=gsl_stats_mean(temp,1,ys*width);
08224 
08225         for (z=0; z<width; z++) {
08226           top = image->get_row(ys/2 -1-z)->get_data();
08227           for (x=0; x<xs; x++)
08228             temp[z*xs+x]=top[x];
08229         }
08230         mT=gsl_stats_mean(temp,1,xs*width);
08231 
08232         for (z=0; z<width; z++) {
08233           bottom = image->get_row(ys/2 +z)->get_data();
08234           for (x=0; x<xs; x++)
08235             temp[z*xs+x]=bottom[x];
08236         }
08237         mB=gsl_stats_mean(temp,1,xs*width);
08238 
08239         free(temp);
08240 
08241         nl=(mL+mR)/2-mL;
08242         nr=(mL+mR)/2-mR;
08243         nt=(mT+mB)/2-mT;
08244         nb=(mT+mB)/2-mB;
08245 
08246         q1=nl+nt;
08247         q2=nr+nt;
08248         q3=nr+nb;
08249         q4=nl+nb;
08250 
08251         // change the pixel values
08252         for (x = 0; x < xs / 2; x++)
08253           for (y = 0; y < ys / 2; y++) {
08254             image->set_value_at_fast(x, y, image->get_value_at(x, y) + static_cast<float>(q1));
08255           }
08256         for (x = xs / 2; x < xs; x++)
08257           for (y = 0; y < ys / 2; y++) {
08258             image->set_value_at_fast(x, y, image->get_value_at(x, y) + static_cast<float>(q2));
08259           }
08260         for (x = xs / 2; x < xs; x++)
08261           for (y = ys / 2; y < ys; y++) {
08262             image->set_value_at_fast(x, y, image->get_value_at(x, y) + static_cast<float>(q3));
08263           }
08264         for (x = 0; x < xs / 2; x++)
08265           for (y = ys / 2; y < ys; y++) {
08266             image->set_value_at_fast(x, y, image->get_value_at(x, y) + static_cast<float>(q4));
08267           }
08268 
08269 }


Member Data Documentation

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

Definition at line 211 of file processor.cpp.


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