#include <processor.h>
Inheritance diagram for EMAN::NormalizeProcessor:
Public Member Functions | |
void | process_inplace (EMData *image) |
To process an image in-place. | |
Static Public Member Functions | |
static string | get_group_desc () |
Get the description of this group of processors. | |
Protected Member Functions | |
virtual float | calc_sigma (EMData *image) const |
virtual float | calc_mean (EMData *image) const =0 |
Each specific normalization processor needs to define how to calculate mean and how to calculate sigma.
Definition at line 4027 of file processor.h.
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Reimplemented in EMAN::NormalizeUnitProcessor, EMAN::NormalizeUnitSumProcessor, EMAN::NormalizeMaskProcessor, and EMAN::NormalizeMaxMinProcessor. Definition at line 3380 of file processor.cpp. References EMAN::EMData::get_attr(). Referenced by process_inplace(). 03381 { 03382 return image->get_attr("sigma"); 03383 }
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Get the description of this group of processors. This function is defined in a parent class. It gives a introduction to a group of processors.
Reimplemented from EMAN::Processor. Definition at line 4032 of file processor.h. 04033 { 04034 return "Base class for normalization processors. Each specific normalization processor needs to define how to calculate mean and how to calculate sigma."; 04035 }
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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.
Implements EMAN::Processor. Definition at line 3385 of file processor.cpp. References calc_mean(), calc_sigma(), EMAN::EMData::get_data(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), EMAN::Util::goodf(), EMAN::EMData::is_complex(), LOGWARN, and EMAN::EMData::update(). 03386 { 03387 if (!image) { 03388 LOGWARN("cannot do normalization on NULL image"); 03389 return; 03390 } 03391 03392 if (image->is_complex()) { 03393 LOGWARN("cannot do normalization on complex image"); 03394 return; 03395 } 03396 03397 float sigma = calc_sigma(image); 03398 if (sigma == 0 || !Util::goodf(&sigma)) { 03399 LOGWARN("cannot do normalization on image with sigma = 0"); 03400 return; 03401 } 03402 03403 float mean = calc_mean(image); 03404 03405 size_t size = (size_t)image->get_xsize() * (size_t)image->get_ysize() * 03406 (size_t)image->get_zsize(); 03407 float *data = image->get_data(); 03408 03409 for (size_t i = 0; i < size; i++) { 03410 data[i] = (data[i] - mean) / sigma; 03411 } 03412 03413 image->update(); 03414 }
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