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+/***************************************************
+Author : Yash S. Bhalgat
+****************************************************
+Usage : transformed_image = imhmax(input_img, threshold, conn);
+ input is a 2-D array
+ conn must be equal to 4 or 8
+***************************************************/
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include <iostream>
+#include <algorithm>
+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_imhmax(char *fname, unsigned long fname_len)
+ {
+
+ SciErr sciErr;
+ int intErr = 0;
+ int iRows=0,iCols=0;
+ int *piAddr2 = NULL;
+ int *piAddr3 = NULL;
+ int i,j,k;
+ double maximum, minimum;
+ double threshold, conn;
+
+ //checking input argument
+ CheckInputArgument(pvApiCtx, 3, 3);
+ CheckOutputArgument(pvApiCtx, 1, 1) ;
+
+ Mat image;
+ retrieveImage(image,1);
+
+ //for value of threshold
+ sciErr = getVarAddressFromPosition(pvApiCtx,2,&piAddr2);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ intErr = getScalarDouble(pvApiCtx, piAddr2, &threshold);
+ if(intErr)
+ return intErr;
+
+ //for value of conn
+ sciErr = getVarAddressFromPosition(pvApiCtx,3,&piAddr3);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ intErr = getScalarDouble(pvApiCtx, piAddr3, &conn);
+ if(intErr)
+ return intErr;
+
+
+ //taking the cases which can lead to an error
+ if(threshold<0)
+ {
+ sciprint("Positive Value Required for threshold. 1 value was used instead");
+ threshold=1;
+ }
+
+ if(conn!=8) conn=8;
+
+ //connectivity taken is 8
+ //main computations
+ Mat transformed_image(image.rows,image.cols,image.type());
+ transformed_image = image;
+
+ for(int x=1; x<image.rows-1; x++){
+ for(int y=1; y<image.cols-1; y++){
+ double myarray[] = {image.at<double>(x-1,y-1),image.at<double>(x,y-1),image.at<double>(x+1,y-1),image.at<double>(x-1,y),image.at<double>(x+1,y),image.at<double>(x-1,y+1),image.at<double>(x,y+1),image.at<double>(x+1,y+1)};
+ maximum = *max_element(myarray, myarray+8);
+ minimum = *min_element(myarray, myarray+8);
+ if(image.at<double>(x,y) >= maximum){
+ if(image.at<double>(x,y)-minimum < threshold) transformed_image.at<double>(x,y) = minimum;
+ }
+ }
+ }
+
+ sciprint("Threshold is: %f", &threshold);
+
+ //returning image
+ string tempstring = type2str(transformed_image.type());
+ char *checker;
+ checker = (char *)malloc(tempstring.size() + 1);
+ memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
+ returnImage(checker,transformed_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;
+
+ }
+/* ==================================================================== */
+}