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/********************************************************
Author: Deepshikha
return_image = Deinterlacer(source_image)
********************************************************/
#include <numeric>
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/opencv.hpp"
#include <iostream>
#include <vector>
using namespace cv;
using namespace std;
extern "C"{
#include "api_scilab.h"
#include "Scierror.h"
#include "BOOL.h"
#include <localization.h>
#include <sciprint.h>
#include "../common.h"
int opencv_Deinterlacer(char *fname, unsigned long fname_len){
/// Error management variable
SciErr sciErr;
/// Variables
int i, j, k , ch;
int iRows=0;
int iCols=0;
int *piAddr2=NULL;
int *piLen = 0;
// to specify deinterlacing method
char **method=NULL;
/// checking input argument
CheckInputArgument(pvApiCtx, 1, 2);
CheckOutputArgument(pvApiCtx, 1, 1);
vector <uint> v;
Mat image;
retrieveImage(image, 1);
/// new_image contains deinterlaced image of original image
Mat new_image(image.rows, image.cols, image.type());
int nbInputArguments = *getNbInputArgument(pvApiCtx);
if(nbInputArguments == 2)
{
sciErr = getVarAddressFromPosition(pvApiCtx, 2, &piAddr2);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
/// Retrieve string from input parameter. (requires 3 calls)
/// first to retrieve dimensions
sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, NULL, NULL);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
//second call to retrieve length of each string
piLen = (int*)malloc(sizeof(int) * iRows * iCols);
sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, piLen, NULL);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
method = (char**)malloc(sizeof(char*) * iRows * iCols);
for(i = 0 ; i < iRows * iCols ; i++)
method[i] = (char*)malloc(sizeof(char) * (piLen[i] + 1));//+ 1 for null termination
//third call to retrieve data
sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, piLen, method);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
// if second argument, method is Linear interpolation
if(strcmp(method[0],"Linear interpolation")==0)
{
for(i = 0; i < image.rows; i++)
{
for(j = 0; j < image.cols; j++)
{
if(i == image.rows-1)
{
if(i%2!=0)
new_image.at <uint> (i,j) = image.at <uint> (i-1,j);
else
new_image.at <uint> (i,j) = image.at <uint> (i,j);
}
else if(i%2 != 0 and i+1 < image.rows and i-1 >= 0)
new_image.at <uint> (i,j) = ( image.at <uint> (i-1,j) + image.at <uint> (i+1,j) ) / 2;
else
new_image.at <uint> (i,j) = image.at <uint> (i,j);
}
}
}
// if second argument, method is Vertical temporal median filtering
else if(strcmp(method[0],"Vertical temporal median filtering")==0)
{
for(i = 0; i < image.rows; i++)
{
for(j = 0;j < image.cols; j++)
{
v.clear();
if(i == image.rows-1)
{
if(i%2!=0)
new_image.at <uint> (i,j) = image.at <uint> (i-1,j);
else
new_image.at <uint> (i,j) = image.at <uint> (i,j);
}
else if(i%2 != 0 and i-1 >= 0 and i+1 < image.rows)
{
v.push_back( image.at <uint> (i-1,j) );
v.push_back( image.at <uint> (i,j) );
v.push_back( image.at <uint> (i+1,j) );
sort( v.begin(),v.end() ); // to find median
new_image.at <uint> (i,j) = v[1];
}
else
new_image.at <uint> (i,j) = image.at <uint> (i,j);
}
}
}
// if second argument, method is Line repetition
else if(strcmp(method[0],"Line repetition")==0)
{
for( i = 0; i < image.rows; i++ )
{
for(j = 0; j < image.cols; j++ )
{
if( i == image.rows-1 and i%2!=0 )
new_image.at <uint> (i,j,k) = image.at <uint> (i,j,k);
if( i%2 != 0 and i-1 >=0 )
new_image.at <uint> (i,j,k) = image.at <uint> (i-1,j,k);
else
new_image.at <uint> (i,j, k) = image.at<uint> (i,j,k);
}
}
}
// if any other invalid method name is passed as argument
else
{
Scierror(99,"Wrong method specified, use Linear interpolation or Vertical temporal median filtering or Line repetition as method name \n");
return 0;
}
}
// if no of input argument is 1 that is no method is specified then we use Line repetition method by default
else
{
for( i = 0; i < image.rows; i++ )
{
for(j = 0; j < image.cols; j++ )
{
if( i == image.rows-1 and i%2!=0 )
new_image.at <uint> (i,j,k) = image.at <uint> (i,j,k);
if( i%2 != 0 and i-1 >=0 )
new_image.at <uint> (i,j,k) = image.at <uint> (i-1,j,k);
else
new_image.at <uint> (i,j, k) = image.at<uint> (i,j,k);
}
}
}
// writing to scilab memory
string tempstring = type2str(new_image.type());
char *checker;
checker = (char *)malloc(tempstring.size() + 1);
memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
returnImage(checker, new_image, 1);
free(checker);
//Assigning the list as the Output Variable
AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
//Returning the Output Variables as arguments to the Scilab environment
ReturnArguments(pvApiCtx);
return 0;
}
/* ==================================================================== */
}
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