void clustering(string filename) {
Mat image = imread(filename);
Preprocessor* pr = new Preprocessor(image);
pr->preprocess(10);
Mat cover;
if(!pr->warpObject()) {
cout << "#WARP-UNSUCCESSFUL" << endl;
cover = image.clone();
image.release();
Size newSize = (cover.size().width > cover.size().height) ? Size(1024, 768) : Size(768, 1024);
resize(cover, cover, newSize);
cout << "using the whole image..." << endl;
} else {
cover = pr->WarpedCover();
string nf = prependStringToFileName("to_swt_", filename);
imwrite(nf, cover);
cout << "#BEGIN-TO-SWT" << endl;
cout << nf << endl;
cout << "#END-TO-SWT" << endl;
}
cout << "#BEGIN-CLUSTERVECTOR" << endl;
cout << Preprocessor::calculateLAB(40, cover) << endl;
cout << "#END-CLUSTERVECTOR" << endl;
}
void recognizing(string filename, vector<uint> ids) {
Mat image = imread(filename);
Recognizer* rcg = new Recognizer(0.70f, 0.065f);
Preprocessor* pr = new Preprocessor(image);
pr->preprocess(10);
Mat cover;
if(!pr->warpObject()) {
cout << "#WARP-UNSUCCESSFUL" << endl;
cover = image.clone();
image.release();
Size newSize = (cover.size().width > cover.size().height) ? Size(1024, 768) : Size(768, 1024);
resize(cover, cover, newSize);
cout << "using the whole image..." << endl;
} else {
cover = pr->WarpedCover();
}
Mat trainingImage;
for(size_t i = 0; i < ids.size(); ++i) {
cout << "training " << i << endl;
rcg->train(ids.at(i));
}
if(rcg->recognize(Preprocessor::kuwaharaNagaoFilter(cover)))
{
Book result = rcg->LastResult();
cout << "#BEGIN-RESULT " << result.Id() << " #END-RESULT";
} else {
cout << "#BEGIN-RESULT null #END-RESULT";
}
cout << endl;
}