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authorshamikam2017-01-16 02:56:17 +0530
committershamikam2017-01-16 02:56:17 +0530
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-rw-r--r--sci_gateway/cpp/opencv_grayconnected.cpp145
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diff --git a/sci_gateway/cpp/opencv_grayconnected.cpp b/sci_gateway/cpp/opencv_grayconnected.cpp
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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;
+
+ }
+/* ==================================================================== */
+}