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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_gateway/cpp/opencv_imgaborfilt.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_gateway/cpp/opencv_imgaborfilt.cpp')
-rw-r--r-- | sci_gateway/cpp/opencv_imgaborfilt.cpp | 159 |
1 files changed, 159 insertions, 0 deletions
diff --git a/sci_gateway/cpp/opencv_imgaborfilt.cpp b/sci_gateway/cpp/opencv_imgaborfilt.cpp new file mode 100644 index 0000000..457a4be --- /dev/null +++ b/sci_gateway/cpp/opencv_imgaborfilt.cpp @@ -0,0 +1,159 @@ +/* + * imgaborfilt + * + * imgaborfilt in scilab + * + */ + +// Created by Samiran Roy, mail: samiranroy@cse.iitb.ac.in +// An implementation of imgaborfilt in scilab +// Usage: +// imgaborfilt(I,wavelength,orientation) : Perform gabor filtering on a grayscale image with given wavelength and orientation +// imboxfilt(I,method) +// method : 'upright' (default) +// method : 'rotated' The area sums are calulated over a rectangle, which is +// rotated 45 degrees +// Known Changes from Matlab: +/* + * 1) None, as of now + */ + +#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_imgaborfilt(char *fname, unsigned long fname_len) { + SciErr sciErr; + int intErr = 0; + int iRows = 0, iCols = 0; + int *piAddr = NULL; + int *piAddr1 = NULL; + int *piAddr2 = NULL; + int *piAddr3 = NULL; + + int error; + + double wavelength; + double orientation; + + int borderType = BORDER_REPLICATE; + + // Parameters for convolution - Leave these alone + + /* ********************************************************************************** + */ + + Point anchor; + double delta; + int ddepth; + + anchor = Point(-1, -1); // The center is unchanged + delta = 0; // No value is added to output + ddepth = -1; // The dimentions of input and output images are the same + + /* ********************************************************************************** + */ + + // Get the number of input arguments + int inputarg = *getNbInputArgument(pvApiCtx); + + // String holding the second argument + int iRet = 0; + char *pstData = NULL; + + // Checking input argument + CheckInputArgument(pvApiCtx, 3, 3); + CheckOutputArgument(pvApiCtx, 1, 1); + + // Get input image + + Mat image; + retrieveImage(image, 1); + + if (image.channels() > 1) { + sciprint("The image must be grayscale."); + return 0; + } + + // Getting the wavelength + sciErr = getVarAddressFromPosition(pvApiCtx, 2, &piAddr2); + + if (sciErr.iErr) { + printError(&sciErr, 0); + return 0; + } + + intErr = getScalarDouble(pvApiCtx, piAddr2, &wavelength); + if (sciErr.iErr) { + printError(&sciErr, 0); + return intErr; + } + + if (wavelength < 2) { + sciprint("Wavelength must be >=2"); + return 0; + } + // Getting the orientation + sciErr = getVarAddressFromPosition(pvApiCtx, 3, &piAddr3); + + if (sciErr.iErr) { + printError(&sciErr, 0); + return 0; + } + + intErr = getScalarDouble(pvApiCtx, piAddr3, &orientation); + if (sciErr.iErr) { + printError(&sciErr, 0); + return intErr; + } + + if ((orientation < 0) || (orientation > 360)) { + sciprint("Orientation must be in the range [0,360]"); + return 0; + } + + double sigma = (1 / CV_PI) * sqrt(log(2) / 2) * 3 * + wavelength; // calculating sigma following matlab convention + + orientation = (orientation / 360) * 2 * CV_PI; // Converting degree to radian + int K_size = + 33 + + 16 * (wavelength - 2); // size of kernel following matlab convention + + Mat kernel = getGaborKernel(cv::Size(K_size, K_size), sigma, orientation, + wavelength, 0.5, 0); + + Mat floatimage; + image.convertTo(floatimage, CV_32F); // Converting image to float type + + Mat dst; + Mat new_image; + filter2D(floatimage, new_image, CV_32F, kernel); // Performing convolution + + 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); + + // 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; +} +/* ==================================================================== */ +} |