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author | shamikam | 2017-01-16 02:56:17 +0530 |
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committer | shamikam | 2017-01-16 02:56:17 +0530 |
commit | a6df67e8bcd5159cde27556f4f6a315f8dc2215f (patch) | |
tree | e806e966b06a53388fb300d89534354b222c2cad /sci_gateway1/cpp/opencv_detectSURFFeatures.cpp | |
download | FOSSEE_Image_Processing_Toolbox-master.tar.gz FOSSEE_Image_Processing_Toolbox-master.tar.bz2 FOSSEE_Image_Processing_Toolbox-master.zip |
Diffstat (limited to 'sci_gateway1/cpp/opencv_detectSURFFeatures.cpp')
-rw-r--r-- | sci_gateway1/cpp/opencv_detectSURFFeatures.cpp | 432 |
1 files changed, 432 insertions, 0 deletions
diff --git a/sci_gateway1/cpp/opencv_detectSURFFeatures.cpp b/sci_gateway1/cpp/opencv_detectSURFFeatures.cpp new file mode 100644 index 0000000..8a62361 --- /dev/null +++ b/sci_gateway1/cpp/opencv_detectSURFFeatures.cpp @@ -0,0 +1,432 @@ +/*************************************************** +Author : Shashank Shekhar +***************************************************/ + +#include <numeric> +#include "opencv2/core/core.hpp" +#include "opencv2/features2d/features2d.hpp" +#include "opencv2/nonfree/features2d.hpp" +#include "opencv2/highgui/highgui.hpp" +#include "opencv2/nonfree/nonfree.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" + //#include "../common.cpp" + +int opencv_detectSURFFeatures(char *fname, unsigned long fname_len) +{ + + SciErr sciErr; + + + int *piAddr = NULL; + int *piAddrVal = NULL; + int val_position; + int *piLen = NULL; + int iRows, iCols = 0; + char ** pstData = NULL; + char *currentArg = NULL; + int valOfCA; + int argPresence[4]; + for(int i=0;i<4;i++) + argPresence[i]=0; + + vector<KeyPoint> myPoints; + + int *LocationList = NULL; + int *OrientationList = NULL; + int *MetricList = NULL; + int *LaplacianList = NULL; + int *ScaleList = NULL; + + double *LocationData = NULL; + double *OrientationData = NULL; + double *MetricData = NULL; + int *LaplacianData = NULL; + double *ScaleData = NULL; + + int noOfarguments = *getNbInputArgument(pvApiCtx); + + CheckInputArgument(pvApiCtx, 1,9); + CheckOutputArgument(pvApiCtx,1,6); + + Mat image; + retrieveImage(image,1); + + + if(image.channels()!=1) + { + Scierror(999," Feature is not meant for RGB images\n"); + return 0; + } + +//********************************************* Valid Argument Count Check ***************************************** + + if(noOfarguments%2==0) + { + Scierror(999," Invalid No of Arguments \n"); + return 0; + } + +//********************************************* Optional Input Arguments ***************************************** + + double MetricThreshold = 0; + double NumOctaves = 0; + double NumScaleLevels = 0; + double *ROImat = NULL; + +//********************************************* Retrieval of Name, Value Argument Pair **************************** + + + for(int i=2;i<=noOfarguments;i=i+2) + { + sciErr = getVarAddressFromPosition(pvApiCtx,i,&piAddr); + if (sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + if(!isStringType(pvApiCtx, piAddr)) + { + Scierror(999,"Invalid Argument\n"); + return 0; + } + + //first call to get rows and columns + sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, NULL, NULL); + if(sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + piLen = (int*)malloc(sizeof(int) * iRows * iCols); + +//second call to retrieve length of each string + sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, piLen, NULL); + if(sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + pstData = (char**)malloc(sizeof(char*) * iRows * iCols); + for(int j = 0 ; j < iRows * iCols ; j++) + { + pstData[j] = (char*)malloc(sizeof(char) * (piLen[j] + 1));//+ 1 for null termination + } +//third call to retrieve data + sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, piLen, pstData); + if(sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + currentArg = pstData[0]; + free(pstData); + iRows=0; + iCols=0; + free(piLen); + + if(strcmp(currentArg,"MetricThreshold")==0) + { + + val_position=i+1; + + if(argPresence[0]==1) + { + Scierror(999,"Do not enter the same parameter\n"); + return 0; + } + + sciErr = getVarAddressFromPosition(pvApiCtx,val_position,&piAddrVal); + if (sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + if(!isDoubleType(pvApiCtx, piAddrVal) || isVarComplex(pvApiCtx,piAddrVal) || !isScalar(pvApiCtx, piAddrVal)) + { + Scierror(999," Invalid Value for MetricThreshold. Please enter a non negative Double value\\n"); + return 0; + } + + getScalarDouble(pvApiCtx, piAddrVal, &MetricThreshold); + + if(MetricThreshold<0) + { + Scierror(999," Invalid Value for MetricThreshold. Please enter a non negative Double value\\n"); + return 0; + } + argPresence[0]=1; + } + else if(strcmp(currentArg,"NumOctaves")==0) + { + val_position=i+1; + + if(argPresence[1]==1) + { + Scierror(999,"Do not enter the same parameter\n"); + return 0; + } + + + sciErr = getVarAddressFromPosition(pvApiCtx,val_position,&piAddrVal); + if (sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + if(!isDoubleType(pvApiCtx, piAddrVal) || isVarComplex(pvApiCtx,piAddrVal) || !isScalar(pvApiCtx, piAddrVal)) + { + + Scierror(999," Invalid Value for NumOctaves. Recommended Values are between 1 and 4\n"); + return 0; + } + + getScalarDouble(pvApiCtx, piAddrVal, &NumOctaves); + + if(NumOctaves<1) + { + Scierror(999," Invalid Value for NumOctaves. Recommended Values are between 1 and 4\n"); + return 0; + } + + argPresence[1]=1; + } + else if(strcmp(currentArg,"NumScaleLevels")==0) + { + val_position=i+1; + + if(argPresence[2]==1) + { + Scierror(999,"Do not enter the same parameter\n"); + return 0; + } + + sciErr = getVarAddressFromPosition(pvApiCtx,val_position,&piAddrVal); + if (sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + if(!isDoubleType(pvApiCtx, piAddrVal) || isVarComplex(pvApiCtx,piAddrVal) || !isScalar(pvApiCtx, piAddrVal)) + { + Scierror(999," Invalid Value for NumScaleLevels. Recommended values are between 3 and 6\n"); + return 0; + } + + getScalarDouble(pvApiCtx, piAddrVal, &NumScaleLevels); + + if(NumScaleLevels<3) + { + Scierror(999," Invalid Value for NumScaleLevels. Please enter an integer value greater than or equal to 3\n"); + return 0; + } + + argPresence[2]=1; + } + else if(strcmp(currentArg,"ROI")==0) + { + val_position=i+1; + + if(argPresence[3]==1) + { + Scierror(999,"Do not enter the same parameter\n"); + return 0; + } + + sciErr = getVarAddressFromPosition(pvApiCtx,val_position,&piAddrVal); + if (sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + if(!isDoubleType(pvApiCtx, piAddrVal) || isVarComplex(pvApiCtx, piAddrVal)) + { + Scierror(999,"Enter a List of 4 double arguments\n"); + return 0; + } + + sciErr = getMatrixOfDouble(pvApiCtx, piAddrVal, &iRows, &iCols, &ROImat); + if(sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + if(iRows*iCols!=4) + { + Scierror(999,"Invalid Argument\n"); + return 0; + } + + + if(ROImat[0]<0 || ROImat[1]<0 || ROImat[2]<0 || ROImat[3]<0) + { + sciprint("Arguments cannot be negative\n"); + return 0; + } + + if(ROImat[0]>image.cols || ROImat[1]>image.rows || ROImat[0]+ROImat[2]>image.cols + || ROImat[1]+ROImat[3]>image.rows) + { + Scierror(999,"Please make sure the arguments are within the image range\n"); + return 0; + } + + argPresence[3]=1; + } + else + { + Scierror(999, "Error: \"%s\" name for input argument is not valid.\n", currentArg); + return 0; + } + + } +//********************************************* End of OIA ******************************************************** + +int nOctaveLayers; + + if(argPresence[2]==1) + nOctaveLayers = NumScaleLevels-2; + + + if(argPresence[0]==0) + MetricThreshold=1000; + if(argPresence[1]==0) + NumOctaves=3; + if(argPresence[2]==0) + nOctaveLayers = 2; + if(argPresence[3]==0) + { + ROImat=(double *)malloc(sizeof(double)*4); + ROImat[0]=0; + ROImat[1]=0; + ROImat[2]=image.cols; + ROImat[3]=image.rows; + } + + + Rect masker(ROImat[0], ROImat[1], ROImat[2], ROImat[3]); + + Mat mask(image.size(), CV_8UC1, Scalar::all(0)); + mask(masker).setTo(Scalar::all(255)); + + + + SURF my_object(MetricThreshold, NumOctaves, nOctaveLayers); + + my_object.operator()(image, mask, myPoints, noArray()); + + int size= myPoints.size(); + +//*************************************************************** Location *************************************************************** + + ScaleData = (double *)malloc(sizeof(double)*size); + OrientationData = (double *)malloc(sizeof(double)*size); + MetricData = (double *)malloc(sizeof(double)*size); + LaplacianData = (int *)malloc(sizeof(int)*size); + + iRows=size; + iCols=2; + int k=0; + + LocationData = (double *)malloc(sizeof(double)*iRows*iCols); + + for(int i=0;i<size;i++) + { + + LocationData[k++] = myPoints[i].pt.x; + LocationData[k++] = myPoints[i].pt.y; + OrientationData[i] = 0; + MetricData[i] = myPoints[i].response; + LaplacianData[i] = myPoints[i].class_id; + double q=myPoints[i].size; +// Scale = Current Filter Size * Base Filter Scale / Base Filter Size + q = q*1.2/9; + q = round(1000.0*q)/(1000.0); + ScaleData[i] = q; + + } + + sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 1, size,2, LocationData); + if(sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1; + +//*************************************************************** Orientation *************************************************************** + + sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 2, size,1, OrientationData); + if(sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + AssignOutputVariable(pvApiCtx, 2) = nbInputArgument(pvApiCtx) + 2; + + //*********************************************************** Metric ******************************************************************** + + sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 3, size,1, MetricData); + if(sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + AssignOutputVariable(pvApiCtx, 3) = nbInputArgument(pvApiCtx) + 3; + +//************************************************************ SignOfLaplacian *********************************************************** + + sciErr = createMatrixOfInteger32(pvApiCtx, nbInputArgument(pvApiCtx) + 4, size,1, LaplacianData); + if(sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + AssignOutputVariable(pvApiCtx, 4) = nbInputArgument(pvApiCtx) + 4; +//*********************************************************** Scale ******************************************************************* + + sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 5, size,1, ScaleData); + if(sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + AssignOutputVariable(pvApiCtx, 5) = nbInputArgument(pvApiCtx) + 5; + +//*********************************************************** Size ********************************************************************* + + createScalarInteger32(pvApiCtx,nbInputArgument(pvApiCtx) + 6, size); + + AssignOutputVariable(pvApiCtx, 6) = nbInputArgument(pvApiCtx) + 6; + + + //Returning the Output Variables as arguments to the Scilab environment + + ReturnArguments(pvApiCtx); + return 0; + +} +/* ==================================================================== */ +} |