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/********************************************************
Author: Abhilasha Sancheti & Sukul Bagai
*********************************************************
[return_image, double] = threshold(input_image, threshold_value, max_value, "<threshold_type>");
********************************************************/
#include <numeric>
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/opencv.hpp"
#include <iostream>
#include <math.h>
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_threshold(char *fname, unsigned long fname_len)
{
SciErr sciErr;
int intErr=0;
int iRows=0,iCols=0;
int *piLen = NULL;
int *piAddr = NULL;
int *piAddrNew = NULL;
int *piAddrNew2 = NULL;
int *piAddr2 = NULL;
int *piAddr3 = NULL;
int *piAddr4 = NULL;
int i,j,k;
double thresh,max_val;
int type;
char **gettype = NULL;
//checking input argument
CheckInputArgument(pvApiCtx, 4, 4);
CheckOutputArgument(pvApiCtx, 2, 2) ;
Mat image;
retrieveImage(image,1);
if(no_of_channels(image.type()) != 1)
cvtColor( image, image, CV_BGR2GRAY );
//for threshold value (thresh)
sciErr = getVarAddressFromPosition(pvApiCtx,2,&piAddr2);
if (sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
intErr = getScalarDouble(pvApiCtx, piAddr2,&thresh);
if(intErr)
return intErr;
//for max_value
sciErr = getVarAddressFromPosition(pvApiCtx,3,&piAddr3);
if (sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
intErr = getScalarDouble(pvApiCtx, piAddr3,&max_val);
if(intErr)
return intErr;
// for type of thresholding (gettype)
sciErr = getVarAddressFromPosition(pvApiCtx,4,&piAddr4);
//checking for error if any
if (sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
sciErr = getMatrixOfString(pvApiCtx, piAddr4, &iRows, &iCols, NULL, NULL);
piLen = (int*)malloc(sizeof(int) * iRows * iCols);
//second call to retrieve length of each string of first argument
sciErr = getMatrixOfString(pvApiCtx, piAddr4, &iRows, &iCols, piLen, NULL);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
gettype= (char**)malloc(sizeof(char*) * iRows * iCols);
for(i = 0 ; i < iRows * iCols ; i++)
{
gettype[i] = (char*)malloc(sizeof(char) * (piLen[i] + 1));//+ 1 for null termination
}
//third call to retrieve data of each string of first argument
sciErr = getMatrixOfString(pvApiCtx, piAddr4, &iRows, &iCols, piLen, gettype);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
//for value of type
Mat new_image(image.rows,image.cols,CV_8UC1);
if(strcmp(gettype[0],"THRESH_BINARY")==0)
type = 0;
else if (strcmp(gettype[0],"THRESH_BINARY_INV")==0)
type=1;
else if (strcmp(gettype[0],"THRESH_TRUNC")==0)
type=2;
else if (strcmp(gettype[0],"THRESH_TOZERO")==0)
type=3;
else if (strcmp(gettype[0],"THRESH_TOZERO_INV")==0)
type=4;
else
{
sciprint("Wrong type given. THRESH_BINARY used instead");
type=0;
}
double res = threshold( image ,new_image, thresh, max_val,type);
// Converting resultant image to 3D matrix
int temp = nbInputArgument(pvApiCtx) + 1;
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);
intErr = createScalarDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 2,res);
if(intErr)
{
return intErr;
}
//Assigning the list as the Output Variable
AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
AssignOutputVariable(pvApiCtx, 2) = nbInputArgument(pvApiCtx) + 2;
//Returning the Output Variables as arguments to the Scilab environment
ReturnArguments(pvApiCtx);
return 0;
}
/* ==================================================================== */
}
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