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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_detectBRISKFeatures.cpp | |
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Diffstat (limited to 'sci_gateway1/cpp/opencv_detectBRISKFeatures.cpp')
-rw-r--r-- | sci_gateway1/cpp/opencv_detectBRISKFeatures.cpp | 421 |
1 files changed, 421 insertions, 0 deletions
diff --git a/sci_gateway1/cpp/opencv_detectBRISKFeatures.cpp b/sci_gateway1/cpp/opencv_detectBRISKFeatures.cpp new file mode 100644 index 0000000..e6ded8e --- /dev/null +++ b/sci_gateway1/cpp/opencv_detectBRISKFeatures.cpp @@ -0,0 +1,421 @@ +/*************************************************** +Author : Shashank Shekhar +***************************************************/ +#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_detectBRISKFeatures(char *fname, unsigned long fname_len) + { + + SciErr sciErr; + int *piAddr = NULL; + int *piAddrVal = NULL; + int argPresence[4]; + for(int i=0;i<4;i++) + argPresence[i]=0; + int val_position; + int iRows = 0; + int iCols = 0; + int *piLen = NULL; + char ** pstData = NULL; + char *currentArg = NULL; + + +// DECLARING INPUT ARGUMENTS + + double *ROImat = NULL; + double NumOctaves = 0; + double MinContrast = 0; + double MinQuality = 0; + + +// DECLARING OUTPUT ARGUMENTS + + vector<KeyPoint> myPoints; + int *LocationList = NULL; + double *LocationData = NULL; + double *OrientationData = NULL; + double *ScaleData = NULL; + double *MetricData = NULL; + int size; + +// ARGUMENT CHECK + + CheckInputArgument(pvApiCtx, 1,9); + CheckOutputArgument(pvApiCtx,1,5); + +// RETRIEVING IMAGE + + Mat image; + retrieveImage(image,1); + +// GRAYSCALE VALIDATION + + if(image.channels()!=1) + { + Scierror(999," Feature is not meant for RGB images\n"); + return 0; + } + +// OBTAINING NUMBER OF ARGUMENTS + + int noOfarguments = *getNbInputArgument(pvApiCtx); + +// ARGUMENT COUNT CHECK + + if(noOfarguments%2==0) + { + Scierror(999," Invalid Number Of Arguments\n"); + return 0; + } + +// MULTIPLE ARGUMENT HANDLING + + 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,"MinContrast")==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)) + { + Scierror(999,"Invalid Value for MinContrast. Please enter a value between 0 and 1\n"); + return 0; + } + + getScalarDouble(pvApiCtx, piAddrVal, &MinContrast); + + if(MinContrast<0 || MinContrast>1) + { + Scierror(999,"Invalid Value for MinContrast. Please enter a value between 0 and 1\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)) + { + 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,"MinQuality")==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)) + { + Scierror(999," Invalid Value for MinQuality. Recommended values are between 0 and 1\n"); + return 0; + } + + getScalarDouble(pvApiCtx, piAddrVal, &MinQuality); + + if(MinQuality<0 || MinQuality>1) + { + Scierror(999," Invalid Value for MinQuality. Please enter a value between 0 and 1 \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 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) + { + Scierror(999,"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\" Invalid input argument.\n", currentArg); + return 0; + } + + } + + +// DEFAULT ARGUMENTS + + if(argPresence[0]==0) + MinContrast=0.2; + if(argPresence[1]==0) + NumOctaves=4; + if(argPresence[2]==0) + MinQuality=0.1; + if(argPresence[3]==0) + { + ROImat=(double *)malloc(sizeof(double)*1*4); + ROImat[0]=0; + ROImat[1]=0; + ROImat[2]=image.cols; + ROImat[3]=image.rows; + } + +// CREATING REGION OF INTEREST + + 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)); + +// PROCESSING BRISK + + + // Setting Threshold -------------------------------------------------> + + double Threshold = MinContrast * 255; + + // Limiting NumOctaves -----------------------------------------------> + + int g = image.rows>image.cols?image.rows:image.cols; + int maxNumOctaves = int(floor(log2(g))); + if(NumOctaves>maxNumOctaves) + NumOctaves=maxNumOctaves; + + //----------------------------------------------------------------------- + + BRISK myobject(Threshold, NumOctaves); + myobject.operator()(image, mask, myPoints, noArray()); + + // Selecting Points according to MinQuality ---------------------------> + + size = myPoints.size(); + + double maxMetric = 0; + double minMetric = 0; + + for(int i=0;i<size;i++) + { + if(myPoints[i].response>maxMetric) + maxMetric=myPoints[i].response; + } + minMetric = maxMetric*MinQuality; + + int finalSize = 0; + for(int i=0;i<size;i++) + { + if(myPoints[i].response>=minMetric) + finalSize++; + } + + //------------------------------------------------------------------------ + +// LOCATION ----> + + LocationData = (double *)malloc(sizeof(double)*finalSize*2); + MetricData = (double *)malloc(sizeof(double)*finalSize); + OrientationData = (double *)malloc(sizeof(double)*finalSize); + ScaleData = (double *)malloc(sizeof(double)*finalSize); + int k=0; + // Appending 1x2 Matrices containing the coordinates of the keypoints, as well as assiging other attributes + for(int i=0;i<size;i++) + { + if(myPoints[i].response>=minMetric) + { + LocationData[k++] = myPoints[i].pt.x; + LocationData[k++] = myPoints[i].pt.y; + OrientationData[i] = 0; + MetricData[i] = myPoints[i].response; + ScaleData[i] = myPoints[i].size; + } + } + + sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 1, finalSize, 2, LocationData); + if(sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + + sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 2, finalSize, 1, OrientationData); + if(sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 3, finalSize,1, MetricData); + if(sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 4,finalSize,1, ScaleData); + if(sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + createScalarInteger32(pvApiCtx,nbInputArgument(pvApiCtx) + 5, finalSize); + +// ASSIGNING ----> + + for(int i=1;i<=5;i++) + { + AssignOutputVariable(pvApiCtx, i) = nbInputArgument(pvApiCtx) + i; + } + + ReturnArguments(pvApiCtx); + } + +}
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