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-rw-r--r--sci_gateway1/cpp/opencv_corner.cpp469
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diff --git a/sci_gateway1/cpp/opencv_corner.cpp b/sci_gateway1/cpp/opencv_corner.cpp
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+/***************************************************
+Author : Rohit Suri
+***************************************************/
+#include <numeric>
+#include <string.h>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include "opencv2/imgproc/imgproc.hpp"
+#include <iostream>
+#include <math.h>
+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"
+
+ /*Calling syntax: corner(I) or corner(I, Name, Value)
+ which uses additional options specified by one or more Name, Value pair arguments.
+ Arguments Allowed: MinQuality, FilterSize, ROI, SensitivityFactor
+ MinQuality : The minimum accepted quality of corners represents a fraction of the
+ maximum corner metric value in the image. Larger values can be used
+ to remove erroneous corners.
+ FilterSize : Gaussian filter dimension
+ ROI : Rectangular region for corner detection
+ SensitivityFactor : A scalar value, K, where 0 < K < 0.25, specifying the sensitivity
+ factor used in the Harris detection algorithm.
+ Method : Whether to use 'Harris' or 'MinimumEigenValue' technique */
+
+ int opencv_corner(char *fname, unsigned long fname_len)
+ {
+ // Error management variables
+ SciErr sciErr;
+ int intErr;
+
+ //------Local variables------//
+ int *location = NULL;
+ double *metric = NULL;
+ int *piAddr = NULL;
+ int *piLen = NULL;
+ int nbInputArguments;
+ char **pstData = NULL;
+ char *currentArg = NULL;
+ bool *providedArgs = NULL;
+ double *matrixOfRoi; // ROI[xStart, yStart, width, height]
+ int iRows, iCols;
+ Mat sourceImage, dst, dstThresholded, ucharDstThresholded, extended;
+ vector<vector<Point> > contours;
+ char *method;
+ double filterSize = 5, minQuality = 0.01, sensitivityFactor = 0.04, blockSize = 2, maxDst, localMax;
+ bool *included = NULL;
+ int pointCount = 0, localMaxPos;
+ double tempForSwapping;
+ int coordinateMin, coordinatePos;
+
+ //------Check number of parameters------//
+ CheckInputArgument(pvApiCtx, 1, 11);
+ CheckOutputArgument(pvApiCtx, 1, 3);
+
+ //------Get input arguments------//
+ retrieveImage(sourceImage, 1);
+ if(sourceImage.channels() != 1)
+ {
+ Scierror(999, "The input image is not a grayscale image.");
+ return 0;
+ }
+ matrixOfRoi = (double*) malloc(sizeof(double) * 4);
+ providedArgs = (bool*) malloc(sizeof(bool) * 5);
+ memset(providedArgs, 0, 5);
+ method = "Harris";
+ matrixOfRoi[0] = 0;
+ matrixOfRoi[1] = 0;
+ matrixOfRoi[2] = sourceImage.cols;
+ matrixOfRoi[3] = sourceImage.rows;
+ nbInputArguments = *getNbInputArgument(pvApiCtx);
+
+ // The following loop is for checking if optional arguments have been provided
+ for(int iter=2; iter <= nbInputArguments; iter++)
+ {
+ // Getting address of next argument
+ sciErr = getVarAddressFromPosition(pvApiCtx, iter, &piAddr);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+
+ // Extracting name of next argument takes three calls to getMatrixOfString
+ sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, NULL, NULL);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+
+ piLen = (int*) malloc(sizeof(int) * iRows * iCols);
+
+ 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 iterPstData = 0; iterPstData < iRows * iCols; iterPstData++)
+ {
+ pstData[iterPstData] = (char*) malloc(sizeof(char) * piLen[iterPstData] + 1);
+ }
+
+ sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, piLen, pstData);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+
+ currentArg = pstData[0];
+ // providedArgs[] makes sure that no optional argument is provided more than once
+ if(strcmp(currentArg, "MinQuality")==0)
+ {
+ if(iter+1<=nbInputArguments && !providedArgs[0])
+ {
+ sciErr = getVarAddressFromPosition(pvApiCtx, ++iter, &piAddr);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ intErr = getScalarDouble(pvApiCtx, piAddr, &minQuality);
+ if(intErr)
+ {
+ return intErr;
+ }
+ // Checking if values are in proper range. Same for all optional arguments
+ if(minQuality < 0 || minQuality > 1)
+ {
+ Scierror(999, "Error: Please provide proper value for \"%s\". Permissible range is [0, 1].\n", currentArg);
+ return 0;
+ }
+ providedArgs[0] = 1;
+ }
+ else if(providedArgs[0]) // Send an error message if an argument is provided more than once. Same for all optional arguments.
+ {
+ Scierror(999, "Please provide optional arguments only once.\n");
+ return 0;
+ }
+ else // Send an error message if name of argument is given but type is incorrect. Same for all optional arguments.
+ {
+ Scierror(999, "Incorrect number of arguments provided. Please check the documentation for more information.\n");
+ return 0;
+ }
+ }
+ else if(strcmp(currentArg, "FilterSize")==0)
+ {
+ if(iter+1 <= nbInputArguments && !providedArgs[1])
+ {
+ sciErr = getVarAddressFromPosition(pvApiCtx, ++iter, &piAddr);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ intErr = getScalarDouble(pvApiCtx, piAddr, &filterSize);
+ if(intErr)
+ {
+ return intErr;
+ }
+ providedArgs[1] = 1;
+ if(filterSize!=1 && filterSize!=3 && filterSize!=5 && filterSize!=7)
+ {
+ Scierror(999, "Error: Please provide proper value for \"%s\". Permissible values are {1, 3, 5, 7}.\n", currentArg);
+ return 0;
+ }
+ }
+ else if(providedArgs[1])
+ {
+ Scierror(999, "Please provide optional arguments only once.\n");
+ return 0;
+ }
+ else
+ {
+ Scierror(999, "Incorrect number of arguments provided. Please check the documentation for more information.\n");
+ return 0;
+ }
+ }
+ else if(strcmp(currentArg, "ROI")==0)
+ {
+ if(iter+1 <= nbInputArguments && !providedArgs[2])
+ {
+ sciErr = getVarAddressFromPosition(pvApiCtx, ++iter, &piAddr);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ if(!isDoubleType(pvApiCtx, piAddr) || isVarComplex(pvApiCtx, piAddr))
+ {
+ Scierror(999, "%s: Wrong type for input argument #%d: A real matrix expected.\n", fname, iter);
+ return 0;
+ }
+ sciErr = getMatrixOfDouble(pvApiCtx, piAddr, &iRows, &iCols, &matrixOfRoi);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ if(iRows!=1 || iCols!=4)
+ {
+ Scierror(999, "Incorrect dimension of matrix for argument ROI.\n");
+ return 0;
+ }
+ providedArgs[2] = 1;
+ if(matrixOfRoi[0] < 0 || matrixOfRoi[0] > sourceImage.cols || matrixOfRoi[1] < 0 ||
+ matrixOfRoi[1] > sourceImage.rows || matrixOfRoi[2] < 0 || matrixOfRoi[0] + matrixOfRoi[2] > sourceImage.cols
+ || matrixOfRoi[3] < 0 || matrixOfRoi[1] + matrixOfRoi[3] > sourceImage.rows)
+ {
+ Scierror(999, "Error: Please provide proper values for \"%s\".\n", currentArg);
+ return 0;
+ }
+ }
+ else if(providedArgs[2])
+ {
+ Scierror(999, "Please provide optional arguments only once.\n");
+ return 0;
+ }
+ else
+ {
+ Scierror(999, "Incorrect number of arguments provided. Please check the documentation for more information.\n");
+ return 0;
+ }
+ }
+ else if(strcmp(currentArg, "SensitivityFactor")==0)
+ {
+ if(iter+1 <= nbInputArguments && !providedArgs[3])
+ {
+ sciErr = getVarAddressFromPosition(pvApiCtx, ++iter, &piAddr);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ intErr = getScalarDouble(pvApiCtx, piAddr, &sensitivityFactor);
+ if(intErr)
+ {
+ return intErr;
+ }
+ providedArgs[3] = 1;
+ if(sensitivityFactor < 0 || sensitivityFactor > 0.25)
+ {
+ Scierror(999, "Error: Please provide proper value for \"%s\". Permissible values are [0, 0.25].\n", currentArg);
+ return 0;
+ }
+ }
+ else if(providedArgs[3])
+ {
+ Scierror(999, "Please provide optional arguments only once.\n");
+ return 0;
+ }
+ else
+ {
+ Scierror(999, "Incorrect number of arguments provided. Please check the documentation for more information.\n");
+ return 0;
+ }
+ }
+ else if(strcmp(currentArg, "Method")==0)
+ {
+ if(iter+1 <= nbInputArguments && !providedArgs[4])
+ {
+ sciErr = getVarAddressFromPosition(pvApiCtx, ++iter, &piAddr);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, NULL, NULL);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+
+ piLen = (int*) malloc(sizeof(int) * iRows * iCols);
+
+ 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 iterPstData = 0; iterPstData < iRows * iCols; iterPstData++)
+ {
+ pstData[iterPstData] = (char*) malloc(sizeof(char) * piLen[iterPstData] + 1);
+ }
+
+ sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, piLen, pstData);
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+
+ method = pstData[0];
+ providedArgs[4] = 1;
+ if(strcmp(method, "Harris") !=0 && strcmp(method, "MinimumEigenValue") !=0)
+ {
+ Scierror(999, "Error: Please provide proper value for \"%s\". Permissible values are [\"Harris\" , \"MinimumEigenValue\"].\n", currentArg);
+ return 0;
+ }
+ }
+ else if(providedArgs[4])
+ {
+ Scierror(999, "Please provide optional arguments only once.\n");
+ return 0;
+ }
+ else
+ {
+ Scierror(999, "Incorrect number of arguments provided. Please check the documentation for more information.\n");
+ return 0;
+ }
+ }
+ else
+ {
+ Scierror(999, "Error: \"%s\" name for input argument is not valid.\n", currentArg);
+ return 0;
+ }
+ }
+
+ //------Actual processing------//
+ if(strcmp(method, "Harris") == 0)
+ {
+ cornerHarris(sourceImage(Rect(matrixOfRoi[0], matrixOfRoi[1], matrixOfRoi[2], matrixOfRoi[3])), dst, blockSize, filterSize, sensitivityFactor, BORDER_DEFAULT);
+ }
+ else
+ {
+ cornerMinEigenVal(sourceImage(Rect(matrixOfRoi[0], matrixOfRoi[1], matrixOfRoi[2], matrixOfRoi[3])), dst, blockSize, filterSize, BORDER_DEFAULT);
+ }
+ // Finding the maximum value at a pixel in dst
+ maxDst = 0;
+ for(int rowIter=0; rowIter < dst.rows; rowIter++)
+ {
+ for(int colIter=0; colIter < dst.cols; colIter++)
+ {
+ if(dst.at<float>(rowIter, colIter) > maxDst)
+ {
+ maxDst = dst.at<float>(rowIter, colIter);
+ }
+ }
+ }
+
+ /* First, we threshold dst according to the minQuality expected by the user.
+ We then find contours in the thresholded image and check each pixel's value
+ to compute the local maxima. A extended mat is created because contours
+ having edges on the boundaries of the images are not considered by
+ findContours */
+ threshold(dst, dstThresholded, maxDst*minQuality, 255, THRESH_BINARY);
+ dstThresholded.convertTo(ucharDstThresholded, CV_8UC1);
+ extended = Mat(dst.rows+2, dst.cols+2, CV_8UC1);
+ for(int rowIter = 0; rowIter < extended.rows; rowIter++)
+ {
+ for(int colIter = 0; colIter < extended.cols; colIter++)
+ {
+ if(rowIter == 0 || rowIter == extended.rows - 1
+ || colIter == 0 || colIter == extended.cols - 1)
+ {
+ extended.at<uchar>(rowIter, colIter) = 0;
+ }
+ else
+ {
+ extended.at<uchar>(rowIter, colIter) = ucharDstThresholded.at<uchar>(rowIter-1, colIter-1);
+ }
+ }
+ }
+
+ findContours(extended, contours, CV_RETR_TREE, CV_CHAIN_APPROX_NONE);
+ pointCount = contours.size();
+ location = (int*) malloc(sizeof(int) * pointCount * 2);
+ metric = (double*) malloc(sizeof(double)*pointCount);
+ for(int rowIter = 0; rowIter < contours.size(); rowIter++)
+ {
+ localMax = 0;
+ localMaxPos = 0;
+ for(int colIter=0; colIter<contours[rowIter].size(); colIter++)
+ {
+ if(dst.at<float>(contours[rowIter][colIter].y-1, contours[rowIter][colIter].x-1)>localMax)
+ {
+ localMax = dst.at<float>(contours[rowIter][colIter].y-1, contours[rowIter][colIter].x-1);
+ localMaxPos = colIter;
+ }
+ }
+ if(localMax > maxDst*minQuality)
+ {
+ location[rowIter] = contours[rowIter][localMaxPos].x-1 + matrixOfRoi[0];
+ location[pointCount + rowIter] = contours[rowIter][localMaxPos].y-1 + matrixOfRoi[1];
+ metric[rowIter] = dst.at<float>(location[pointCount + rowIter], location[rowIter]);
+ }
+ }
+
+ // To return coordinates in order
+ for(int iter1 = 0; iter1 < pointCount - 1; iter1++)
+ {
+ coordinateMin = location[iter1];
+ coordinatePos = iter1;
+ for(int iter2 = iter1 + 1; iter2 < pointCount; iter2++)
+ {
+ if(location[iter2] < coordinateMin)
+ {
+ coordinateMin = location[iter2];
+ coordinatePos = iter2;
+ }
+ else if(location[iter2] == coordinateMin)
+ {
+ if(location[pointCount + iter2] < location[pointCount + coordinatePos])
+ {
+ coordinateMin = location[iter2];
+ coordinatePos = iter2;
+ }
+ }
+ }
+ // Swapping x coordinate
+ tempForSwapping = location[coordinatePos];
+ location[coordinatePos] = location[iter1];
+ location[iter1] = tempForSwapping;
+ // Swapping y coordinate
+ tempForSwapping = location[pointCount + coordinatePos];
+ location[pointCount + coordinatePos] = location[pointCount + iter1];
+ location[pointCount + iter1] = tempForSwapping;
+ // Swapping metric
+ tempForSwapping = metric[coordinatePos];
+ metric[coordinatePos] = metric[iter1];
+ metric[iter1] = tempForSwapping;
+ }
+
+ //------Create output arguments------//
+ sciErr = createMatrixOfInteger32(pvApiCtx, nbInputArgument(pvApiCtx)+1, pointCount, 2, location);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx)+2, pointCount, 1, metric);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ sciErr = createMatrixOfInteger32(pvApiCtx, nbInputArgument(pvApiCtx)+3, 1, 1, &pointCount);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+
+ //------Return Arguments------//
+ AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx)+1;
+ AssignOutputVariable(pvApiCtx, 2) = nbInputArgument(pvApiCtx)+2;
+ AssignOutputVariable(pvApiCtx, 3) = nbInputArgument(pvApiCtx)+3;
+ ReturnArguments(pvApiCtx);
+ return 0;
+ }
+/* ==================================================================== */
+} \ No newline at end of file