public Image GetWaveletTransformedImage(float[][] image, IWaveletDecomposition wavelet, double haarWaveletNorm)
{
int width = image[0].Length;
int height = image.Length;
float[] transformedImages = new float[width * height];
for (int i = 0; i < height; ++i)
{
for (int j = 0; j < width; ++j)
{
transformedImages[i * width + j] = image[i][j];
}
}
wavelet.DecomposeImageInPlace(transformedImages, height, width, haarWaveletNorm);
Bitmap transformed = new Bitmap(width, height, PixelFormat.Format16bppRgb565);
for (int i = 0; i < transformed.Height; i++)
{
for (int j = 0; j < transformed.Width; j++)
{
transformed.SetPixel(j, i, Color.FromArgb((int)image[i][j]));
}
}
return(transformed);
}
public FingerprintService(ISpectrumService spectrumService, IWaveletDecomposition waveletDecomposition)
: this(
spectrumService,
waveletDecomposition,
DependencyResolver.Current.Get <IFingerprintDescriptor>())
{
}
internal FingerprintService(
ISpectrumService spectrumService,
IWaveletDecomposition waveletDecomposition,
IFingerprintDescriptor fingerprintDescriptor)
{
this.spectrumService = spectrumService;
this.waveletDecomposition = waveletDecomposition;
this.fingerprintDescriptor = fingerprintDescriptor;
}
public FingerprintService(
IAudioService audioService,
IFingerprintDescriptor fingerprintDescriptor,
IWaveletDecomposition waveletDecomposition)
{
this.waveletDecomposition = waveletDecomposition;
this.fingerprintDescriptor = fingerprintDescriptor;
this.audioService = audioService;
}
internal FingerprintService(
ISpectrumService spectrumService,
IWaveletDecomposition waveletDecomposition,
IFingerprintDescriptor fingerprintDescriptor)
{
this.spectrumService = spectrumService;
this.waveletDecomposition = waveletDecomposition;
this.fingerprintDescriptor = fingerprintDescriptor;
}
internal FingerprintService(
ISpectrumService spectrumService,
IWaveletDecomposition waveletDecomposition,
IFingerprintDescriptor fingerprintDescriptor,
IAudioSamplesNormalizer audioSamplesNormalizer)
{
this.spectrumService = spectrumService;
this.waveletDecomposition = waveletDecomposition;
this.fingerprintDescriptor = fingerprintDescriptor;
this.audioSamplesNormalizer = audioSamplesNormalizer;
}
internal FindSimilarFingerprintService(
ISpectrumService spectrumService,
ILocalitySensitiveHashingAlgorithm lshAlgorithm,
IWaveletDecomposition waveletDecomposition,
IFingerprintDescriptor fingerprintDescriptor)
{
this.lshAlgorithm = lshAlgorithm;
this.spectrumService = spectrumService;
this.waveletDecomposition = waveletDecomposition;
this.fingerprintDescriptor = fingerprintDescriptor;
}
internal FingerprintService(
ISpectrumService spectrumService,
IWaveletDecomposition waveletDecomposition,
IFingerprintDescriptor fingerprintDescriptor,
IAudioSamplesNormalizer audioSamplesNormalizer)
{
this.spectrumService = spectrumService;
this.waveletDecomposition = waveletDecomposition;
this.fingerprintDescriptor = fingerprintDescriptor;
this.audioSamplesNormalizer = audioSamplesNormalizer;
}
public Image GetWaveletTransformedImage(double[][] image, IWaveletDecomposition wavelet)
{
int width = image[0].Length;
int height = image.Length;
wavelet.DecomposeImageInPlace(image);
Bitmap transformed = new Bitmap(width, height, PixelFormat.Format16bppRgb565);
for (int i = 0; i < transformed.Height; i++)
{
for (int j = 0; j < transformed.Width; j++)
{
transformed.SetPixel(j, i, Color.FromArgb((int)image[i][j]));
}
}
return(transformed);
}
public ImageService(ISpectrumService spectrumService, IWaveletDecomposition waveletDecomposition)
{
this.spectrumService = spectrumService;
this.waveletDecomposition = waveletDecomposition;
}
public void SetUp()
{
waveletDecomposition = new StandardHaarWaveletDecomposition();
}
public FindSimilarImageService(IWaveletDecomposition waveletDecomposition)
{
this.waveletDecomposition = waveletDecomposition;
}
public WaveletService(IWaveletDecomposition waveletDecomposition)
{
this.waveletDecomposition = waveletDecomposition;
}
public ImageService(ISpectrumService spectrumService, IWaveletDecomposition waveletDecomposition)
{
this.spectrumService = spectrumService;
this.waveletDecomposition = waveletDecomposition;
}
/// <summary>
/// Get wavelet decomposition on an image
/// </summary>
/// <param name = "wavelet">Wavelet used</param>
/// <param name = "image">Image to be decomposed</param>
/// <returns>New image</returns>
public static Image GetWaveletTransformation(IWaveletDecomposition wavelet, float[][] image)
{
int width = image[0].Length;
int height = image.Length;
wavelet.DecomposeImageInPlace(image);
Bitmap transformed = new Bitmap(width, height, PixelFormat.Format16bppRgb565);
for (int i = 0; i < transformed.Height; i++)
for (int j = 0; j < transformed.Width; j++)
transformed.SetPixel(j, i, Color.FromArgb((int)image[i][j]));
return transformed;
}
public WaveletService(IWaveletDecomposition waveletDecomposition)
{
this.waveletDecomposition = waveletDecomposition;
}
public void SetUp()
{
waveletDecomposition = new StandardHaarWaveletDecomposition();
}
public void SetUp()
{
waveletDecomposition = new HaarWavelet();
}
