/******************************************************** Author: Suraj Prakash return_image = TemplateMatcher(InputArray image, InputArray templage_image, int method) ********************************************************/ #include #include "opencv2/core/core.hpp" #include "opencv2/highgui/highgui.hpp" #include "opencv2/opencv.hpp" #include #include using namespace cv; using namespace std; extern "C"{ #include "api_scilab.h" #include "Scierror.h" #include "BOOL.h" #include #include #include "../common.h" int opencv_TemplateMatcher(char *fname, unsigned long fname_len){ /// Error management variable SciErr sciErr; /// Variables int i, j; int iRows = 0; int iCols = 0; int *piLen = NULL; int *piAddr = NULL; char **method = NULL; /// checking input argument CheckInputArgument(pvApiCtx, 2, 3); CheckOutputArgument(pvApiCtx, 1, 1); Mat image, template_image; retrieveImage(image, 1); retrieveImage(template_image, 2); /// if there is inconsistency in data type of image and template image if(type2str(image.type()) != type2str(template_image.type())){ Scierror(999, "%s: Image and template image are not of same type\n"); return 0; } if(template_image.rows > image.rows or template_image.cols > image.cols){ Scierror(999, "%s: Dimensions of template image is greater then image\n"); return 0; } /// generated image is (W - w + 1) * (H - h + 1) and it must be 32 bit floating number with single channel Mat new_image(image.rows, image.cols, image.type()); int nbInputArguments = *getNbInputArgument(pvApiCtx); if(nbInputArguments > 2){ /// variable address sciErr = getVarAddressFromPosition(pvApiCtx, 3, &piAddr); if(sciErr.iErr){ printError(&sciErr, 0); return 0; } /// Retrieve string from input parameter. (requires 3 calls) /// first to retrieve dimensions 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; } method = (char**)malloc(sizeof(char*) * iRows * iCols); for(i = 0 ; i < iRows * iCols ; i++) method[i] = (char*)malloc(sizeof(char) * (piLen[i] + 1));//+ 1 for null termination //third call to retrieve data sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, piLen, method); if(sciErr.iErr){ printError(&sciErr, 0); return 0; } if(strcmp(method[0], "CV_TM_SQDIFF") == 0) matchTemplate(image, template_image, new_image, CV_TM_SQDIFF); else if(strcmp(method[0], "CV_TM_SQDIFF_NORMED") == 0) matchTemplate(image, template_image, new_image, CV_TM_SQDIFF_NORMED); else if(strcmp(method[0], "CV_TM_CCORR") == 0) matchTemplate(image, template_image, new_image, CV_TM_CCORR); else if(strcmp(method[0], "CV_TM_CCORR_NORMED") == 0) matchTemplate(image, template_image, new_image, CV_TM_CCORR_NORMED); else if(strcmp(method[0], "CV_TM_CCOEFF") == 0) matchTemplate(image, template_image, new_image, CV_TM_CCOEFF); else if(strcmp(method[0], "CV_TM_CCOEFF_NORMED") == 0) matchTemplate(image, template_image, new_image, CV_TM_CCOEFF_NORMED); else{ matchTemplate(image, template_image, new_image, CV_TM_SQDIFF); sciprint("Wrong method given, using CV_TM_SQDIFF instead"); } } else{ matchTemplate(image, template_image, new_image, CV_TM_SQDIFF); } string tempstring = type2str(new_image.type()); char *checker; checker = (char *)malloc(tempstring.size() + 1); memcpy(checker, tempstring.c_str(), tempstring.size() + 1); returnImage(checker, new_image, 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; } /* ==================================================================== */ }