How to get a standalone executable using opencv and eclipse (windows)? - c++

Question

I have written a small program to prepare an image which is later processed by a FPGA-Board. I need to have it run on any windows machine, even if opencv is not installed. I have read a lot of tutorials and answers on stack overflow, but none of that seems to work for me. I compiled opencv myself using Cmake and MinGW to build the static libraries (.a files). How do I get those in my project, which ones do I need and how do I link them? It seems like everytime I try to link the libraries I used before (when using dlls) seems to have some kind of dependency to other ones.
Thanks in advance,
Brillow
The error message is:
g++ "-LE:\\opencv\\staticlibs\\lib" -static-libgcc -static-libstdc++ -mwindows -o img_prep.exe main.o -lIlmImf -ljasper -lpng -ltiff -ljpeg -lz -lopencv_highgui249 -lopencv_imgproc249 -lopencv_core249
E:\opencv\staticlibs\lib/libopencv_highgui249.a(grfmt_jpeg.cpp.obj):grfmt_jpeg.cpp:(.text.unlikely._ZN2cvL16my_jpeg_load_dhtEP22jpeg_decompress_structPhPP9JHUFF_TBLS5_.constprop.52+0xce): undefined reference to `jpeg_alloc_huff_table'
E:\opencv\staticlibs\lib/libopencv_highgui249.a(grfmt_jpeg.cpp.obj):grfmt_jpeg.cpp:(.text$_ZN2cv11JpegEncoder5writeERKNS_3MatERKSt6vectorIiSaIiEE+0xe2): undefined reference to `jpeg_CreateCompress'
c:/mingw/bin/../lib/gcc/mingw32/4.8.1/../../../../mingw32/bin/ld.exe: E:\opencv\staticlibs\lib/libopencv_highgui249.a(grfmt_jpeg.cpp.obj): bad reloc address 0xe2 in section `.text$_ZN2cv11JpegEncoder5writeERKNS_3MatERKSt6vectorIiSaIiEE'
c:/mingw/bin/../lib/gcc/mingw32/4.8.1/../../../../mingw32/bin/ld.exe: final link failed: Invalid operation
collect2.exe: error: ld returned 1 exit status
I have linked the following libraries in the MinGW linker:
Here's my code:
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <iostream>
#include <fstream>
using namespace cv;
using namespace std;
int main(int argc, char** argv) {
if (argc != 2) {
cout << "Usage: img_prep InputImage" << endl;
return -1;
}
Mat img, img_gray;
Size size(800,600);
img = imread(argv[1], CV_LOAD_IMAGE_COLOR);
if (!img.data) {
cout << "Could not read the image!" << endl;
return -1;
}
cvtColor(img, img_gray, CV_RGB2GRAY);
resize(img_gray, img, size);
cout << "Image successfully converted!" << endl;
ofstream output;
output.open("output.img", ios::binary);
output.write((char *) img.data, img.rows * img.cols);
output.close();
imwrite("output.bmp", img);
cout << "Image saved!" << endl;
//Ergebnis anzeigen:
namedWindow("Display", WINDOW_AUTOSIZE);
imshow("Display", img);
waitKey(0);
return 0;
}