public SymbolRecognitionWorker(string inputPath, ScanningMethod scanningMethod, DescriptorMethod descriptorMethod, MachineLearningMethod machineLearningMethod)
{
#region SURF
//SetParameters(inputPath, scanningMethod, descriptorMethod, machineLearningMethod);
//switch (scanningMethod)
//{
// case ScanningMethod.ScanningByPixel:
// break;
// case ScanningMethod.ScanningByImageDimention:
// // _scanImage.ScanByImageDimension(inputPath, out _element, out _test, out _gElement, _log);
// _scanImage.ScanByPixel(inputPath, 50, 50, out _element, out _test, out _gElement, _log);
// break;
// default:
// break;
//}
//switch (descriptorMethod)
//{
// case DescriptorMethod.SIFT:
// break;
// case DescriptorMethod.SURF:
// ApplySURF();
// break;
// case DescriptorMethod.DCT:
// break;
// default:
// break;
//}
#endregion
}
private void SetParameters(string inputPath, ScanningMethod scanningMethod, DescriptorMethod descriptorMethod, MachineLearningMethod machineLearningMethod)
{
_symbolParameters = new Utility.SymbolParameters();
_hessianThreshould = _symbolParameters.HessianThresh;
_uniquenessThresh = _symbolParameters.UniquenessThress;
_histogramMatchingScore = _symbolParameters.HistogramMatchingScore;
_tm = _symbolParameters.TM;
_log = File.AppendText(inputPath + "/log.txt");
_machineLearningMethod = machineLearningMethod;
_scanningMethod = scanningMethod;
_descriptorType = descriptorMethod;
//check the FilePath
_inputPath = inputPath;
_inPath = inputPath + "/in";
_outPath = inputPath + "/out";
_intermediatePath = inputPath + "/Intermediate";
ValidateFilePath(_inPath, "in");
ValidateFilePath(_outPath, "out");
ValidateFilePath(_intermediatePath, "Intermediate");
ValidateFilePath(_inputPath, "");
_descriptor = new Descriptor();
_machineLearning = new MachineLearning();
_scanImage = new ScanImage();
}
public SymbolRecognitionWorker(string inputPath, ScanningMethod scanningMethod, DescriptorMethod descriptorMethod, MachineLearningMethod machineLearningMethod)
{
#region SURF
//SetParameters(inputPath, scanningMethod, descriptorMethod, machineLearningMethod);
//switch (scanningMethod)
//{
// case ScanningMethod.ScanningByPixel:
// break;
// case ScanningMethod.ScanningByImageDimention:
// // _scanImage.ScanByImageDimension(inputPath, out _element, out _test, out _gElement, _log);
// _scanImage.ScanByPixel(inputPath, 50, 50, out _element, out _test, out _gElement, _log);
// break;
// default:
// break;
//}
//switch (descriptorMethod)
//{
// case DescriptorMethod.SIFT:
// break;
// case DescriptorMethod.SURF:
// ApplySURF();
// break;
// case DescriptorMethod.DCT:
// break;
// default:
// break;
//}
#endregion
}
private void SetParameters(string inputPath, ScanningMethod scanningMethod, DescriptorMethod descriptorMethod, MachineLearningMethod machineLearningMethod)
{
_symbolParameters = new Utility.SymbolParameters();
_hessianThreshould = _symbolParameters.HessianThresh;
_uniquenessThresh = _symbolParameters.UniquenessThress;
_histogramMatchingScore = _symbolParameters.HistogramMatchingScore;
_tm = _symbolParameters.TM;
_log = File.AppendText(inputPath + "/log.txt");
_machineLearningMethod = machineLearningMethod;
_scanningMethod = scanningMethod;
_descriptorType = descriptorMethod;
//check the FilePath
_inputPath = inputPath;
_inPath = inputPath + "/in";
_outPath = inputPath + "/out";
_intermediatePath = inputPath + "/Intermediate";
ValidateFilePath(_inPath, "in");
ValidateFilePath(_outPath, "out");
ValidateFilePath(_intermediatePath, "Intermediate");
ValidateFilePath(_inputPath, "");
_descriptor = new Descriptor();
_machineLearning = new MachineLearning();
_scanImage = new ScanImage();
}
