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EMAN::LodCmp Class Reference

#include <cmp.h>

Inheritance diagram for EMAN::LodCmp:

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Collaboration diagram for EMAN::LodCmp:

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List of all members.

Public Member Functions

float cmp (EMData *image, EMData *with) const
 To compare 'image' with another image passed in through its parameters.
string get_name () const
 Get the Cmp's name.
string get_desc () const
TypeDict get_param_types () const
 Get Cmp parameter information in a dictionary.

Static Public Member Functions

CmpNEW ()

Static Public Attributes

const string NAME = "lod"

Member Function Documentation

float LodCmp::cmp EMData image,
EMData with
const [virtual]
 

To compare 'image' with another image passed in through its parameters.

An optional transformation may be used to transform the 2 images.

Parameters:
image The first image to be compared.
with The second image to be comppared.
Returns:
The comparison result. Smaller better by default

Implements EMAN::Cmp.

Definition at line 153 of file cmp.cpp.

References dm, EMAN::EMData::get_const_data(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), EMAN::Dict::has_key(), ImageFormatException, EMAN::EMData::is_complex(), EMAN::Dict::set_default(), and EMAN::Cmp::validate_input_args().

00154 {
00155         ENTERFUNC;
00156         if (image->is_complex() || with->is_complex())
00157                 throw ImageFormatException( "Complex images not yet supported by CMP::LodCmp");
00158         validate_input_args(image, with);
00159 
00160         const float *const d1 = image->get_const_data();
00161         const float *const d2 = with->get_const_data();
00162 
00163         float negative = (float)params.set_default("negative", 1);
00164         if (negative) negative=-1.0; else negative=1.0;
00165 
00166         double avg1 = 0.0, sig1 = 0.0, avg2 = 0.0, sig2 = 0.0, lod = 0.0;
00167         long n = 0;
00168         size_t totsize = image->get_xsize()*image->get_ysize()*image->get_zsize();
00169         size_t i;
00170         
00171         bool has_mask = false;
00172         EMData* mask = 0;
00173         if (params.has_key("mask")) {
00174                 mask = params["mask"];
00175                 if(mask!=0) {has_mask=true;}
00176         }
00177 
00178         int normalize = 0;
00179         if (params.has_key("normalize")) {
00180                 normalize = params["normalize"];
00181         }
00182 
00183         if (normalize) {
00184                 if (has_mask) {
00185                         const float *const dm = mask->get_const_data();
00186                         for (i = 0; i < totsize; ++i) {
00187                                 if (dm[i] > 0.5) {
00188                                         avg1 += double(d1[i]);
00189                                         avg2 += double(d2[i]);
00190                                         n++;
00191                                 }
00192                         }
00193                 } else {
00194                         for (i = 0; i < totsize; ++i) {
00195                                 avg1 += double(d1[i]);
00196                                 avg2 += double(d2[i]);
00197                         }
00198                         n = totsize;
00199                 }
00200 
00201                 avg1 /= double(n);
00202                 avg2 /= double(n);
00203 
00204                 if (has_mask) {
00205                         const float *const dm = mask->get_const_data();
00206                         for (i = 0; i < totsize; ++i) {
00207                                 if (dm[i] > 0.5) {
00208                                         sig1 += fabs(double(d1[i])-avg1);
00209                                         sig2 += fabs(double(d2[i])-avg2);
00210                                 }
00211                         }
00212                 } else {
00213                         for (i = 0; i < totsize; ++i) {
00214                                 sig1 += fabs(double(d1[i])-avg1);
00215                                 sig2 += fabs(double(d2[i])-avg2);
00216                         }
00217                 }
00218         } else {
00219                 avg1 = 0.0; avg2 = 0.0;
00220                 sig1 = 1.0; sig2 = 1.0;
00221         }
00222 
00223         if (has_mask) {
00224                 const float *const dm = mask->get_const_data();
00225                 for (i = 0; i < totsize; ++i) {
00226                         if (dm[i] > 0.5) {
00227                                 lod += fabs((double(d1[i])-avg1)/sig1 - (double(d2[i])-avg2)/sig2);
00228                         }
00229                 }
00230         } else {
00231                 for (i = 0; i < totsize; ++i) {
00232                         lod += fabs((double(d1[i])-avg1)/sig1 - (double(d2[i])-avg2)/sig2);
00233                 }
00234         }
00235         
00236         lod *= (-0.5);
00237         lod *= negative;
00238         return static_cast<float>(lod);
00239         EXITFUNC;
00240 }

string EMAN::LodCmp::get_desc  )  const [inline, virtual]
 

Implements EMAN::Cmp.

Definition at line 199 of file cmp.h.

00200                 {
00201                         return "L^1 normalized difference (positive by default)";
00202                 }

string EMAN::LodCmp::get_name  )  const [inline, virtual]
 

Get the Cmp's name.

Each Cmp is identified by a unique name.

Returns:
The Cmp's name.

Implements EMAN::Cmp.

Definition at line 194 of file cmp.h.

00195                 {
00196                         return NAME;
00197                 }

TypeDict EMAN::LodCmp::get_param_types  )  const [inline, virtual]
 

Get Cmp 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.

Implements EMAN::Cmp.

Definition at line 210 of file cmp.h.

References EMAN::TypeDict::put().

00211                 {
00212                         TypeDict d;
00213                         d.put("negative", EMObject::INT, "If set (which is the default), returns Lod. (The smaller the better)");
00214                         d.put("normalize", EMObject::INT, "If set, normalizes maps prior to computing the difference. Default=0 (no normalization)");
00215                         d.put("mask", EMObject::EMDATA, "image mask");
00216                         return d;
00217                 }

Cmp* EMAN::LodCmp::NEW  )  [inline, static]
 

Definition at line 204 of file cmp.h.

00205                 {
00206                         return new LodCmp();
00207                 }


Member Data Documentation

const string LodCmp::NAME = "lod" [static]
 

Definition at line 44 of file cmp.cpp.


The documentation for this class was generated from the following files:
Generated on Thu Dec 9 13:47:17 2010 for EMAN2 by  doxygen 1.3.9.1