/******************************************************** Author: Abhilasha Sancheti & Sukul Bagai ********************************************************* [return_image, double] = threshold(input_image, threshold_value, max_value, ""); ********************************************************/ #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_threshold(char *fname, unsigned long fname_len) { SciErr sciErr; int intErr=0; int iRows=0,iCols=0; int *piLen = NULL; int *piAddr = NULL; int *piAddrNew = NULL; int *piAddrNew2 = NULL; int *piAddr2 = NULL; int *piAddr3 = NULL; int *piAddr4 = NULL; int i,j,k; double thresh,max_val; int type; char **gettype = NULL; //checking input argument CheckInputArgument(pvApiCtx, 4, 4); CheckOutputArgument(pvApiCtx, 2, 2) ; Mat image; retrieveImage(image,1); if(no_of_channels(image.type()) != 1) cvtColor( image, image, CV_BGR2GRAY ); //for threshold value (thresh) sciErr = getVarAddressFromPosition(pvApiCtx,2,&piAddr2); if (sciErr.iErr) { printError(&sciErr, 0); return 0; } intErr = getScalarDouble(pvApiCtx, piAddr2,&thresh); if(intErr) return intErr; //for max_value sciErr = getVarAddressFromPosition(pvApiCtx,3,&piAddr3); if (sciErr.iErr) { printError(&sciErr, 0); return 0; } intErr = getScalarDouble(pvApiCtx, piAddr3,&max_val); if(intErr) return intErr; // for type of thresholding (gettype) sciErr = getVarAddressFromPosition(pvApiCtx,4,&piAddr4); //checking for error if any if (sciErr.iErr) { printError(&sciErr, 0); return 0; } sciErr = getMatrixOfString(pvApiCtx, piAddr4, &iRows, &iCols, NULL, NULL); piLen = (int*)malloc(sizeof(int) * iRows * iCols); //second call to retrieve length of each string of first argument sciErr = getMatrixOfString(pvApiCtx, piAddr4, &iRows, &iCols, piLen, NULL); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } gettype= (char**)malloc(sizeof(char*) * iRows * iCols); for(i = 0 ; i < iRows * iCols ; i++) { gettype[i] = (char*)malloc(sizeof(char) * (piLen[i] + 1));//+ 1 for null termination } //third call to retrieve data of each string of first argument sciErr = getMatrixOfString(pvApiCtx, piAddr4, &iRows, &iCols, piLen, gettype); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } //for value of type Mat new_image(image.rows,image.cols,CV_8UC1); if(strcmp(gettype[0],"THRESH_BINARY")==0) type = 0; else if (strcmp(gettype[0],"THRESH_BINARY_INV")==0) type=1; else if (strcmp(gettype[0],"THRESH_TRUNC")==0) type=2; else if (strcmp(gettype[0],"THRESH_TOZERO")==0) type=3; else if (strcmp(gettype[0],"THRESH_TOZERO_INV")==0) type=4; else { sciprint("Wrong type given. THRESH_BINARY used instead"); type=0; } double res = threshold( image ,new_image, thresh, max_val,type); // Converting resultant image to 3D matrix int temp = nbInputArgument(pvApiCtx) + 1; 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); intErr = createScalarDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 2,res); if(intErr) { return intErr; } //Assigning the list as the Output Variable AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1; AssignOutputVariable(pvApiCtx, 2) = nbInputArgument(pvApiCtx) + 2; //Returning the Output Variables as arguments to the Scilab environment ReturnArguments(pvApiCtx); return 0; } /* ==================================================================== */ }