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#include"Python.h"
#include"structmember.h"
#include<string.h>
#include "numpy/arrayobject.h"
#ifdef LINUX
#define _FILE_OFFSET_BITS 64
#endif
#define DEBUG(a)
/* The error object to expose
*/
static PyObject *ErrorObject;
#define onError(message)\
{ PyErr_SetString(ErrorObject, message); return NULL;}
#define __SINO_Filter_name__ "SINO_Filter"
#define __init__Filter__ initSINO_Filter
int hst_ffa8__(int* , int* , int* , float *, int* , float *, int *) ;
int hst_ffs8__(int* , int* , int* , float *, int* , float *, int *) ;
void C_HST_EXPNT(int dim_exponts,int dim_fft2,int radix,float *EXPONENTS,
int *status)
{
int hst_expnt__(int *maxdat,int * numdat,int * jump,float *twiddle, int *status);
hst_expnt__(&dim_exponts,&dim_fft2,&radix,EXPONENTS,status);
}
static char Filter_doc[]=
"/* "
" Filter( item , SINO_FILTER_PARA )"
" ^"
" dictionary"
" */"
;
static PyObject *
Filter(PyObject *self_a, PyObject *args)
{
PyObject * A ;
PyObject * para_dict ;
PyObject * dic_key;
PyObject * dic_value;
/* double threshold ; */
int i;
int dim_3,dim2,dim_1;
float * a_data;
float * sum_line;
float *EXPONENTS ;
int status;
int True=1;
int dim_exponts;
int dim_fft, two_power;
float * FILTER;
int slice_count, proj_count;
if(!PyArg_ParseTuple(args,"OO:CDD_Filter",&A, ¶_dict ))
return NULL;
/* check the Objects */
if(!PyArray_Check(A )) onError("not a PyArray, argument 1");
if(!PyDict_Check(para_dict )) onError("not a PyDict, argument 2");
/* check the types */
if( ((PyArrayObject *) A ) ->descr->type_num != PyArray_FLOAT ) onError(" arg 1 is not an array of float " ) ;
/* check n of dimensione */
if( ((PyArrayObject *) A)->nd !=3) onError(" arg 1 is not a 3D array " ) ;
/* check contiguity */
if( ((PyArrayObject *) A) ->flags %2 == 0) onError(" array has to be contiguous");
a_data = (float *) ((PyArrayObject *) A)->data;
/* straighforward addressing scheme in case of contiguous memory. Or you'll need to use strides */
dim_3 = ((PyArrayObject *) A)->dimensions[0] ;
dim2 = ((PyArrayObject *) A)->dimensions[1] ;
dim_1 = ((PyArrayObject *) A)->dimensions[2] ;
/* getting parameter(s) contained in the dictionary */
dic_key = PyString_FromString("FILTER");
dic_value = PyDict_GetItem(para_dict , dic_key);
Py_DECREF(dic_key);
if( dic_value == NULL)
onError(" unable to find the FILTER key in the passed dictionary");
if( !PyArray_Check(dic_value) )
onError("supplied value for FILTER is not an ARRAY ");
if( ((PyArrayObject *) dic_value ) ->descr->type_num != PyArray_FLOAT ) onError(" Filter is not an array of float " ) ;
if( ((PyArrayObject *)dic_value )->nd !=1) onError(" Filter is not a 1D array " ) ;
if( ((PyArrayObject *)dic_value ) ->flags %2 == 0) onError("Filter has to be contiguous");
two_power = (int)(log((2. * dim_1 - 1)) / log(2.0) + 0.9999);
dim_fft = 1; for(i=1;i<two_power; i++) dim_fft*=2;
if( ((PyArrayObject *)dic_value )->dimensions[0] != dim_fft ) {
printf("FILTER dimension should be = %d \n", dim_fft);
onError("Filter has wrong dimension, must correspond to the padded slice lenght ( power of 2 lenght)");
}
/* trusting passed value */
FILTER = (float*) ((PyArrayObject *)dic_value ) ->data ;
#define AA(i,j,k) a_data[(k)+dim_1*((j)+dim2*(i)) ]
sum_line = (float*) malloc( dim_fft*sizeof(float) );
dim_exponts= 2 * dim_fft;
EXPONENTS = malloc((dim_exponts) * sizeof(float));
C_HST_EXPNT(dim_exponts, dim_fft*2, 8, EXPONENTS, &status);
memset(sum_line,0,dim_fft*sizeof(float) );
for(slice_count=0; slice_count< dim_3; slice_count++) {
memset(sum_line,0,dim_fft*sizeof(float) );
for( proj_count=0 ; proj_count< dim2; proj_count++) {
for(i=0; i< dim_1; i++) {
sum_line[i] += AA( slice_count, proj_count, i) ;
}
}
for(i=0; i< dim_1; i++) {
sum_line[i] /= dim2 ;
}
/* Filtering */
hst_ffa8__(&dim_fft, &dim_fft, &dim_exponts, EXPONENTS, &True ,sum_line , &status);
/******************************************************
* Multiply the Fourier transformed array with filter *
******************************************************/
for(i=0;i<dim_fft;i++) {
sum_line[i] = sum_line[i] * FILTER[i]/dim_fft;
}
/***************************************************
* Inverse Fourier transform to give convolution *
***************************************************/
hst_ffs8__(&dim_fft,&dim_fft, &dim_exponts, EXPONENTS, &True, sum_line, &status);
/* Subtraction */
for( proj_count=0 ; proj_count< dim2; proj_count++) {
for(i=0; i< dim_1; i++) {
AA( slice_count, proj_count, i) -= sum_line[i] ;
}
}
}
free(sum_line);
Py_INCREF(Py_None);
return Py_None;
}
static PyMethodDef SINO_Filter_functions [] = {
{"Filter", Filter, METH_VARARGS, Filter_doc},
{ NULL, NULL}
};
void
__init__Filter__ (void)
{
PyObject *m, *d;
m = Py_InitModule( __SINO_Filter_name__ , SINO_Filter_functions );
d = PyModule_GetDict(m);
ErrorObject = Py_BuildValue("s", __SINO_Filter_name__ ".error");
PyDict_SetItemString(d,"error", ErrorObject);
if(PyErr_Occurred())
Py_FatalError("can't initialize module " __SINO_Filter_name__ );
#ifdef import_array
import_array();
#endif
}
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