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/***************************************************
Author : Dhruti Shah
****************************************************
Usage : return_image = grayconnected(input_image,row,column,tolerance);
***************************************************/
#include <numeric>
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/opencv.hpp"
#include <iostream>
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_grayconnected(char *fname, unsigned long fname_len)
{
SciErr sciErr;
int intErr = 0;
int iRows=0,iCols=0;
int *piAddr2 = NULL;
int *piAddr3 = NULL;
int *piAddr4 = NULL;
int *piAddr5 = NULL;
int i,j,k;
double row, column, tolerance=32;
//checking input argument
CheckInputArgument(pvApiCtx, 3, 4);
CheckOutputArgument(pvApiCtx, 1, 1) ;
Mat image;
retrieveImage(image,1);
//for value of row
sciErr = getVarAddressFromPosition(pvApiCtx,2,&piAddr2);
if (sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
intErr = getScalarDouble(pvApiCtx, piAddr2, &row);
if(intErr)
return intErr;
//for value of column
sciErr = getVarAddressFromPosition(pvApiCtx,3,&piAddr3);
if (sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
intErr = getScalarDouble(pvApiCtx, piAddr3, &column);
if(intErr)
return intErr;
if(nbInputArgument(pvApiCtx)==4)
{
//for value of tolerance
sciErr = getVarAddressFromPosition(pvApiCtx,4,&piAddr4);
if (sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
intErr = getScalarDouble(pvApiCtx, piAddr4, &tolerance);
if(intErr)
return intErr;
}
if(row<0)
{
sciprint("Positive Value Required for Row.");
return 0;
}
if(column<0)
{
sciprint("Positive Value Required for Column.");
return 0;
}
if(tolerance<0)
{
sciprint("Positive Value Required for tolerance.");
return 0;
}
Mat gray_image;
cvtColor( image, gray_image, CV_BGR2GRAY );
Mat temp_image = Mat::zeros( image.size(), image.type() );
Mat image_to_display = Mat::zeros( image.size(), image.type() );
int value = gray_image.at<uchar>(row,column);
for(int i=0;i<image.cols;i++)
{
for(int j=0;j<image.rows;j++)
{
int value1 = gray_image.at<uchar>(i,j);
if(value1>=value-tolerance && value1<=tolerance+value)
temp_image.at<uchar>(i,j)=255;
else
temp_image.at<uchar>(i,j)=0;
}
}
Mat labelled_image(image.size(), image.type() );
int nlabels = connectedComponents(temp_image , labelled_image );
int label = labelled_image.at<uchar>(row,column);
for(int i=0;i<image.cols;i++)
{
for(int j=0;j<image.rows;j++)
{
if(labelled_image.at<uchar>(i,j)==label)
image_to_display.at<uchar>(i,j)=255;
}
}
//returning image
string tempstring = type2str(image_to_display.type());
char *checker;
checker = (char *)malloc(tempstring.size() + 1);
memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
returnImage(checker,image_to_display,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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