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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 6643 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 6658 of file processor.h.

06659                 {
06660                         return "normalize the 4 quadrants of a CCD image";
06661                 }

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 6648 of file processor.h.

06649                 {
06650                         return NAME;
06651                 }

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 6663 of file processor.h.

References EMAN::TypeDict::put().

06664                 {
06665                         TypeDict d;
06666                         d.put("width", EMObject::INT, "number of pixels on either side of the seam to sample");
06667                         return d;
06668                 }

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

Definition at line 6653 of file processor.h.

06654                 {
06655                         return new CCDNormProcessor();
06656                 }

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 8099 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.

08100 {
08101         if (!image) {
08102           Log::logger()->set_level(Log::ERROR_LOG);
08103           Log::logger()->error("Null image during call to CCDNorm\n");
08104           return;
08105         }
08106         if (image->get_zsize() > 1) {
08107           Log::logger()->set_level(Log::ERROR_LOG);
08108           Log::logger()->error("CCDNorm does not support 3d images\n");
08109           return;
08110         }
08111 
08112         int xs = image->get_xsize();
08113         int ys = image->get_ysize();
08114 
08115         // width of sample area on either side of the seams
08116         int width = params["width"];
08117 
08118         width%=(xs > ys ? xs/2 : ys/2);  // make sure width is a valid value
08119         if (width==0) {
08120           width=1;
08121         }
08122 
08123         // get the 4 "seams" of the image
08124         float *left, *right, *top, *bottom;
08125 
08126         double *temp;
08127         temp= (double*)malloc((xs > ys ? xs*width : ys*width)*sizeof(double));
08128         if (temp==NULL) {
08129           Log::logger()->set_level(Log::ERROR_LOG);
08130           Log::logger()->error("Could not allocate enough memory during call to CCDNorm\n");
08131           return;
08132         }
08133 
08134         int x, y, z;
08135 
08136         // the mean values of each seam and the average
08137         double mL,mR,mT,mB;
08138 
08139         // how much to shift each seam
08140         double nl,nr,nt,nb;
08141 
08142         // quad. shifting amount
08143         double q1,q2,q3,q4;
08144 
08145         // calc. the mean for each quadrant
08146         for (z=0; z<width; z++) {
08147           left = image->get_col(xs/2 -1-z)->get_data();
08148           for (y=0; y<ys; y++)
08149             temp[z*ys+y]=left[y];
08150         }
08151         mL=gsl_stats_mean(temp,1,ys*width);
08152 
08153         for (z=0; z<width; z++) {
08154           right = image->get_col(xs/2 +z)->get_data();
08155           for (y=0; y<ys; y++)
08156             temp[z*ys+y]=right[y];
08157         }
08158         mR=gsl_stats_mean(temp,1,ys*width);
08159 
08160         for (z=0; z<width; z++) {
08161           top = image->get_row(ys/2 -1-z)->get_data();
08162           for (x=0; x<xs; x++)
08163             temp[z*xs+x]=top[x];
08164         }
08165         mT=gsl_stats_mean(temp,1,xs*width);
08166 
08167         for (z=0; z<width; z++) {
08168           bottom = image->get_row(ys/2 +z)->get_data();
08169           for (x=0; x<xs; x++)
08170             temp[z*xs+x]=bottom[x];
08171         }
08172         mB=gsl_stats_mean(temp,1,xs*width);
08173 
08174         free(temp);
08175 
08176         nl=(mL+mR)/2-mL;
08177         nr=(mL+mR)/2-mR;
08178         nt=(mT+mB)/2-mT;
08179         nb=(mT+mB)/2-mB;
08180 
08181         q1=nl+nt;
08182         q2=nr+nt;
08183         q3=nr+nb;
08184         q4=nl+nb;
08185 
08186         // change the pixel values
08187         for (x = 0; x < xs / 2; x++)
08188           for (y = 0; y < ys / 2; y++) {
08189             image->set_value_at_fast(x, y, image->get_value_at(x, y) + static_cast<float>(q1));
08190           }
08191         for (x = xs / 2; x < xs; x++)
08192           for (y = 0; y < ys / 2; y++) {
08193             image->set_value_at_fast(x, y, image->get_value_at(x, y) + static_cast<float>(q2));
08194           }
08195         for (x = xs / 2; x < xs; x++)
08196           for (y = ys / 2; y < ys; y++) {
08197             image->set_value_at_fast(x, y, image->get_value_at(x, y) + static_cast<float>(q3));
08198           }
08199         for (x = 0; x < xs / 2; x++)
08200           for (y = ys / 2; y < ys; y++) {
08201             image->set_value_at_fast(x, y, image->get_value_at(x, y) + static_cast<float>(q4));
08202           }
08203 
08204 }


Member Data Documentation

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

Definition at line 210 of file processor.cpp.


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