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/* ==================================================================== */
/* Author :Priyanka Hiranandani NIT Surat */
/* ==================================================================== */
/* Syntax : return_matrix_of_threshold_levels=multithresh(InputArray src,int level) */
/* ==================================================================== */
/*The function return various threshold levels:*/
/* ==================================================================== */
#include <numeric>
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/opencv.hpp"
#include <iostream>
#include<stdio.h>
#include <sciprint.h>
using namespace cv;
using namespace std;
extern "C"
{
#include "api_scilab.h"
#include "Scierror.h"
#include "BOOL.h"
#include <localization.h>
#include "../common.h"
//global variables
float **p,**s,**h;
float **as,**ds;
float fast(int n,int i,int j,int index[])
{
int k,index1;
float s;
float max = INT_MIN;
if(i>256)
{
return INT_MIN;
}
if(n==0)
return h[i][j];
if(ds[i][n]!=-1.000000)
return ds[i][n];
for(k=i;k<=256;k++)
{
s=h[i][k]+fast(n-1,k+1,j,index);
if(s>max)
{
max=s;
as[i][n]=k;
index[n]=k;
}
}
return ds[i][n]=max;
}
int multithresh(char *fname, unsigned long fname_len)
{
// Error management variable
SciErr sciErr;
//variable info
int iRows = 0;
int iCols = 0;
int piRows = 0;
int piCols = 0;
int* piAddr2=NULL ;
double thresh;
float C;
int i,j;
int error;
//checking input argument
CheckInputArgument(pvApiCtx,2,2);
//checking output argument
CheckOutputArgument(pvApiCtx,1,1);
//for first argument
Mat img;
retrieveImage(img,1);
//second argument
sciErr = getVarAddressFromPosition(pvApiCtx,2,&piAddr2);
if (sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
//this function will fetch value of fifth argument
error=getScalarDouble(pvApiCtx,piAddr2,&thresh) ;
if(error!=0)
{
sciprint("error in retrieving second argument");
}
//code for histogram calculation
Mat imageh;
cvtColor(img, imageh, CV_BGR2GRAY);
// number of bins
int histSize[1] = {256};
// min andax pixel value
float hranges[2] = {0, 256};
const float* ranges[1] = {hranges};
int channels[1] = {0}; // only 1 channel used
cv::MatND hist;
calcHist(&imageh, 1, channels, cv::Mat(), hist, 1, histSize, ranges);
//code for ostu method for histogram calculation
float *hi;
hi=(float *)malloc(sizeof(float)*257);
float nPixels = imageh.total();
for(i=1;i<257;i++)
{
hi[i]=(float)(hist.at<float>(i-1));
}
p=(float **)malloc(sizeof(float *)*257);
for(i=0;i<257;i++)
{
p[i]=(float *)malloc(sizeof(float)*257);
}
s=(float **)malloc(sizeof(float *)*257);
for(i=0;i<257;i++)
{
s[i]=(float *)malloc(sizeof(float)*257);
}
h=(float **)malloc(sizeof(float *)*257);
for(i=0;i<257;i++)
{
h[i]=(float *)malloc(sizeof(float)*257);
}
for(i=0;i<257;i++)
{
for(j=0;j<257;j++)
{
p[i][j]=0;
s[i][j]=0;
h[i][j]=0;
}
}
p[1][0]=0;
s[1][0]=0;
for(i=0;i<256;i++)
{
p[1][i+1]=p[1][i]+hi[i+1];
s[1][i+1]=s[1][i]+((i+1)*(hi[i+1]));
}
for(i=2;i<257;i++)
{
for(j=1;j<257;j++)
{
p[i][j]=p[1][j]-p[1][i-1];
s[i][j]=s[1][j]-s[1][i-1];
}
}
float temp,temp1;
for(j=1;j<257;j++)
{
for(i=1;i<=j;i++)
{
temp=(s[i][j])*(s[i][j]);
temp1=(temp/p[i][j]);
h[i][j]=temp1;
}
}
as=(float **)malloc(sizeof(float *)*257);
for(i=0;i<257;i++)
{
as[i]=(float *)malloc(sizeof(float)*257);
}
ds=(float **)malloc(sizeof(float *)*257);
for(i=0;i<257;i++)
{
ds[i]=(float *)malloc(sizeof(float)*257);
}
for(i=0;i<257;i++)
{
for(j=0;j<257;j++)
{
ds[i][j]=-1.000000;
}
}
int n=(int )thresh;
int index[n+1];
fast(n,1,256,index);
int a=0;
double *output=NULL;int k=0;
output=( double *)malloc(sizeof(double)*n);
for(i=n;i>=1;i--)
{
a=as[a+1][i];
output[k]=a;
k++;
}
for(i=0;i<257;i++)
{
free(h[i]);
free(as[i]);
free(ds[i]);
}
free(h);
free(as);
free(ds);
sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 1,1,n,output);
free(output);
if (sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
AssignOutputVariable(pvApiCtx,1) = nbInputArgument(pvApiCtx) + 1;
ReturnArguments(pvApiCtx);
return 0;
}
}
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