#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 | |
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 4106 of file processor.h.
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Reimplemented in EMAN::NormalizeUnitProcessor, EMAN::NormalizeUnitSumProcessor, EMAN::NormalizeMaskProcessor, and EMAN::NormalizeMaxMinProcessor. Definition at line 3550 of file processor.cpp. References EMAN::EMData::get_attr(). Referenced by process_inplace(). 03551 { 03552 return image->get_attr("sigma"); 03553 }
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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 4111 of file processor.h. 04112 { 04113 return "Base class for normalization processors. Each specific normalization processor needs to define how to calculate mean and how to calculate sigma."; 04114 }
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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 3555 of file processor.cpp. References calc_mean(), calc_sigma(), data, 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(). 03556 { 03557 if (!image) { 03558 LOGWARN("cannot do normalization on NULL image"); 03559 return; 03560 } 03561 03562 if (image->is_complex()) { 03563 LOGWARN("cannot do normalization on complex image"); 03564 return; 03565 } 03566 03567 float sigma = calc_sigma(image); 03568 if (sigma == 0 || !Util::goodf(&sigma)) { 03569 LOGWARN("cannot do normalization on image with sigma = 0"); 03570 return; 03571 } 03572 03573 float mean = calc_mean(image); 03574 03575 size_t size = (size_t)image->get_xsize() * image->get_ysize() * image->get_zsize(); 03576 float *data = image->get_data(); 03577 03578 for (size_t i = 0; i < size; ++i) { 03579 data[i] = (data[i] - mean) / sigma; 03580 } 03581 03582 image->update(); 03583 }
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