summaryrefslogtreecommitdiff
path: root/sci_gateway1/cpp/opencv_houghcircles.cpp
diff options
context:
space:
mode:
authorshamikam2017-01-16 02:56:17 +0530
committershamikam2017-01-16 02:56:17 +0530
commita6df67e8bcd5159cde27556f4f6a315f8dc2215f (patch)
treee806e966b06a53388fb300d89534354b222c2cad /sci_gateway1/cpp/opencv_houghcircles.cpp
downloadFOSSEE_Image_Processing_Toolbox-a6df67e8bcd5159cde27556f4f6a315f8dc2215f.tar.gz
FOSSEE_Image_Processing_Toolbox-a6df67e8bcd5159cde27556f4f6a315f8dc2215f.tar.bz2
FOSSEE_Image_Processing_Toolbox-a6df67e8bcd5159cde27556f4f6a315f8dc2215f.zip
First CommitHEADmaster
Diffstat (limited to 'sci_gateway1/cpp/opencv_houghcircles.cpp')
-rw-r--r--sci_gateway1/cpp/opencv_houghcircles.cpp164
1 files changed, 164 insertions, 0 deletions
diff --git a/sci_gateway1/cpp/opencv_houghcircles.cpp b/sci_gateway1/cpp/opencv_houghcircles.cpp
new file mode 100644
index 0000000..4b36aa6
--- /dev/null
+++ b/sci_gateway1/cpp/opencv_houghcircles.cpp
@@ -0,0 +1,164 @@
+/********************************************************
+Authors: Sukul Bagai, Abhilasha Sancheti
+********************************************************/
+
+#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_houghcircles(char *fname, unsigned long fname_len)
+ {
+
+ SciErr sciErr;
+ int iRows=0,iCols=0;
+ int *piAddr2 = NULL;
+ int *piAddr3 = NULL;
+ int *piAddr4 = NULL;
+ int *piAddr5 = NULL;
+ int *piAddr6 = NULL;
+ int *piAddr7 = NULL;
+ int i,j,k;
+ double *dp =NULL , *mindist = NULL ,*param1= NULL ,*param2=NULL;
+ double *minradius =NULL, *maxradius = NULL;
+
+ //checking input argument
+ CheckInputArgument(pvApiCtx, 7, 7);
+ CheckOutputArgument(pvApiCtx, 1, 1) ;
+
+ Mat src;
+ retrieveImage(src,1);
+
+ // for dp parameter of houghCircles function
+ sciErr = getVarAddressFromPosition(pvApiCtx,2,&piAddr2);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ sciErr = getMatrixOfDouble(pvApiCtx, piAddr2, &iRows, &iCols ,&dp);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+
+ // for minDist parameter of houghCircles function
+ sciErr = getVarAddressFromPosition(pvApiCtx,3,&piAddr3);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ sciErr = getMatrixOfDouble(pvApiCtx, piAddr3, &iRows, &iCols ,&mindist);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+
+ // for param1 parameter of houghCircles function
+ sciErr = getVarAddressFromPosition(pvApiCtx,4,&piAddr4);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ sciErr = getMatrixOfDouble(pvApiCtx, piAddr4, &iRows, &iCols ,&param1);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+
+ // for param2 parameter of houghCircles function
+ sciErr = getVarAddressFromPosition(pvApiCtx,5,&piAddr5);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ sciErr = getMatrixOfDouble(pvApiCtx, piAddr5, &iRows, &iCols ,&param2);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ // for minradius parameter of houghCircles function
+ sciErr = getVarAddressFromPosition(pvApiCtx,6,&piAddr6);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ sciErr = getMatrixOfDouble(pvApiCtx, piAddr6, &iRows, &iCols ,&minradius);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ // for maxradius parameter of houghCircles function
+ sciErr = getVarAddressFromPosition(pvApiCtx,7,&piAddr7);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ sciErr = getMatrixOfDouble(pvApiCtx, piAddr7, &iRows, &iCols ,&maxradius);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+
+ Mat src_gray;
+ cvtColor( src, src_gray, CV_BGR2GRAY );
+
+ /// Reduce the noise so we avoid false circle detection
+
+
+ vector<Vec3f> circles;
+
+ /// Apply the Hough Transform to find the circles
+ HoughCircles( src_gray, circles, CV_HOUGH_GRADIENT, dp[0], mindist[0], param1[0], param2[0], minradius[0], maxradius[0] );
+ int rows = circles.size();
+ cout<<circles.size();
+ double *output = (double *)malloc(3*rows*sizeof(double *));
+
+ /// Draw the circles detected
+ for(int i=0;i<rows;i++)
+ {
+ *(output + i*3 + 0) = circles[i][0];
+ *(output + i*3 + 1) = circles[i][1];
+ *(output + i*3 + 2) = circles[i][2];
+ }
+
+ sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 1, rows, 3, output);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+
+ //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;
+
+
+ }
+
+}
+