#include <processor.h>
Inheritance diagram for EMAN::ConvolutionKernalProcessor:
Public Member Functions | |
virtual EMData * | process (const EMData *const image) |
To proccess an image out-of-place. | |
virtual void | process_inplace (EMData *image) |
To process an image in-place. | |
virtual string | get_name () const |
Get the processor's name. | |
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 | |
Processor * | NEW () |
Static Public Attributes | |
const string | NAME = "convkernal" |
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Get the descrition of this specific processor. This function must be overwritten by a subclass.
Implements EMAN::Processor. Definition at line 6933 of file processor.h. 06934 { 06935 return "Filters an image with a convolution kernal."; 06936 }
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Get the processor's name. Each processor is identified by a unique name.
Implements EMAN::Processor. Definition at line 6925 of file processor.h. 06926 {
06927 return NAME;
06928 }
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Get processor parameter information in a dictionary. Each parameter has one record in the dictionary. Each record contains its name, data-type, and description.
Reimplemented from EMAN::Processor. Definition at line 6937 of file processor.h. References EMAN::TypeDict::put(). 06938 { 06939 TypeDict d; 06940 d.put("kernal", EMObject::FLOATARRAY, "the convolution kernal"); 06941 return d; 06942 }
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Definition at line 6929 of file processor.h. 06930 { 06931 return new ConvolutionKernalProcessor(); 06932 }
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To proccess an image out-of-place. For those processors which can only be processed out-of-place, override this function to give the right behavior.
Reimplemented from EMAN::Processor. Definition at line 9731 of file processor.cpp. References data, EMAN::EMData::get_data(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), ImageDimensionException, InvalidParameterException, nx, ny, and sqrt(). 09732 { 09733 if (image->get_zsize()!=1) throw ImageDimensionException("Only 2-D images supported"); 09734 09735 EMData* conv = new EMData(image->get_xsize(),image->get_ysize(),1); 09736 vector<float>kernal = params["kernal"]; 09737 09738 if (fmod(sqrt((float)kernal.size()), 1.0f) != 0) throw InvalidParameterException("Convolution kernal must be square!!"); 09739 09740 float* data = image->get_data(); 09741 float* cdata = conv->get_data(); // Yes I could use set_value_at_fast, but is still slower than this.... 09742 09743 //I could do the edges by wrapping around, but this is not necessary(such functionality can be iplemented later) 09744 int ks = sqrt((float)kernal.size()); 09745 int n = (ks - 1)/2; 09746 int nx = image->get_xsize(); 09747 int ny = image->get_ysize(); 09748 for (int i = n; i < (nx - n); i++) { 09749 for (int j = n; j < (ny - n); j++) { 09750 //now do the convolution 09751 float cpixel = 0; 09752 int idx = 0; 09753 // Perahps I could use some ofrm of Caching to speed things up? 09754 for (int cx = -n; cx <= n; cx++) { 09755 for (int cy = -n; cy <= n; cy++) { 09756 cpixel += data[(i+cx) + (j+cy) * nx]*kernal[idx]; 09757 idx++; 09758 } 09759 } 09760 cdata[i + j * nx] = cpixel; 09761 } 09762 } 09763 09764 return conv; 09765 }
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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 9767 of file processor.cpp. References UnexpectedBehaviorException. 09768 { 09769 throw UnexpectedBehaviorException("Not implemented yet"); 09770 09771 return; 09772 }
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Definition at line 243 of file processor.cpp. |