public void GetRidgeSpectraVersion1(double[,] dbSpectrogramData, double ridgeThreshold)
{
int rowCount = dbSpectrogramData.GetLength(0);
int colCount = dbSpectrogramData.GetLength(1);
int spanCount = rowCount - 4; // 4 because 5x5 grid means buffer of 2 on either side
double[,] matrix = dbSpectrogramData;
//double[,] matrix = ImageTools.WienerFilter(dbSpectrogramData, 3);
// returns a byte matrix of ridge directions
// 0 = no ridge detected or below magnitude threshold.
// 1 = ridge direction = horizontal or slope = 0;
// 2 = ridge is positive slope or pi/4
// 3 = ridge is vertical or pi/2
// 4 = ridge is negative slope or 3pi/4.
//byte[,] hits = RidgeDetection.Sobel5X5RidgeDetectionExperiment(matrix, ridgeThreshold);
byte[,] hits = RidgeDetection.Sobel5X5RidgeDetectionVersion1(matrix, ridgeThreshold);
//image for debugging
//ImageTools.DrawMatrix(hits, @"C:\SensorNetworks\Output\BIRD50\temp\hitsSpectrogram.png");
double[] spectrum = new double[colCount];
byte[] freqBin;
//Now aggregate hits to get ridge info
//note that the Spectrograms were passed in flat-rotated orientation.
//Therefore need to assign ridge number to re-oriented values.
// Accumulate info for the horizontal ridges
for (int col = 0; col < colCount; col++)
{
// i.e. for each frequency bin
freqBin = MatrixTools.GetColumn(hits, col);
int count = freqBin.Count(x => x == 3);
if (count < 2)
{
continue; // i.e. not a track.
}
spectrum[col] = count / (double)spanCount;
}
this.RhzSpectrum = spectrum;
// accumulate info for the vertical ridges
spectrum = new double[colCount];
for (int col = 0; col < colCount; col++)
{
// i.e. for each frequency bin
freqBin = MatrixTools.GetColumn(hits, col);
int count = freqBin.Count(x => x == 1);
if (count < 2)
{
continue; // i.e. not a track.
}
spectrum[col] = count / (double)spanCount;
}
this.RvtSpectrum = spectrum;
// accumulate info for the up slope ridges
spectrum = new double[colCount];
for (int col = 0; col < colCount; col++)
{
// i.e. for each frequency bin
freqBin = MatrixTools.GetColumn(hits, col);
int count = freqBin.Count(x => x == 4);
spectrum[col] = count / (double)spanCount;
}
this.RpsSpectrum = spectrum;
// accumulate info for the down slope ridges
spectrum = new double[colCount];
for (int col = 0; col < colCount; col++)
{
// i.e. for each frequency bin
freqBin = MatrixTools.GetColumn(hits, col);
int count = freqBin.Count(x => x == 2);
spectrum[col] = count / (double)spanCount;
}
this.RngSpectrum = spectrum;
}
public void GetRidgeSpectraVersion2(double[,] dbSpectrogramData)
{
int rowCount = dbSpectrogramData.GetLength(0);
int colCount = dbSpectrogramData.GetLength(1);
// calculate span = number of cells over which will take average of a feature.
// -4 because 5x5 grid means buffer of 2 on either side
int spanCount = rowCount - 4;
double[,] matrix = dbSpectrogramData;
//ImageTools.DrawMatrix(matrix, @"C:\SensorNetworks\Output\BIRD50\temp\SpectrogramBeforeWeinerFilter.png");
// DO NOT USE WIENER FILTERING because smooths the ridges and lose definition
//matrix = ImageTools.WienerFilter(dbSpectrogramData, 3);
//ImageTools.DrawMatrix(matrix, @"C:\SensorNetworks\Output\BIRD50\temp\hitsSpectrogramAfterWeinerFilter.png");
// returns a byte matrix of ridge directions
// 0 = ridge direction = horizontal or slope = 0;
// 1 = ridge is positive slope or pi/4
// 2 = ridge is vertical or pi/2
// 3 = ridge is negative slope or 3pi/4.
List <double[, ]> hits = RidgeDetection.Sobel5X5RidgeDetection_Version2(matrix);
//image for debugging
//ImageTools.DrawMatrix(hits[0], 0, 10.0, @"C:\SensorNetworks\Output\BIRD50\temp\hitsSpectrogram0.png");
//ImageTools.DrawMatrix(hits[1], 0, 10.0, @"C:\SensorNetworks\Output\BIRD50\temp\hitsSpectrogram1.png");
//ImageTools.DrawMatrix(hits[2], 0, 10.0, @"C:\SensorNetworks\Output\BIRD50\temp\hitsSpectrogram2.png");
//ImageTools.DrawMatrix(hits[3], 0, 10.0, @"C:\SensorNetworks\Output\BIRD50\temp\hitsSpectrogram3.png");
double[] spectrum = new double[colCount];
double sum;
//Now aggregate hits to get ridge info
//note that the Spectrograms were passed in flat-rotated orientation.
//Therefore need to assign ridge number to re-oriented values.
// Accumulate info for the horizontal ridges
var hitsMatrix = hits[2];
// for each frequency bin
for (int col = 0; col < colCount; col++)
{
sum = 0;
for (int row = 2; row < rowCount - 2; row++)
{
sum += hitsMatrix[row, col];
}
spectrum[col] = sum / spanCount;
}
this.RhzSpectrum = spectrum;
// accumulate info for the vertical ridges
hitsMatrix = hits[0];
spectrum = new double[colCount];
for (int col = 0; col < colCount; col++)
{
// i.e. for each frequency bin
sum = 0;
for (int row = 2; row < rowCount - 2; row++)
{
sum += hitsMatrix[row, col];
}
spectrum[col] = sum / spanCount;
}
this.RvtSpectrum = spectrum;
// accumulate info for the positive/up-slope ridges
hitsMatrix = hits[3];
spectrum = new double[colCount];
// for each frequency bin
for (int col = 0; col < colCount; col++)
{
sum = 0;
for (int row = 2; row < rowCount - 2; row++)
{
sum += hitsMatrix[row, col];
}
spectrum[col] = sum / spanCount;
}
this.RpsSpectrum = spectrum;
// accumulate info for the negative/down slope ridges
hitsMatrix = hits[1];
spectrum = new double[colCount];
// for each frequency bin
for (int col = 0; col < colCount; col++)
{
sum = 0;
for (int row = 2; row < rowCount - 2; row++)
{
sum += hitsMatrix[row, col];
}
spectrum[col] = sum / spanCount;
}
this.RngSpectrum = spectrum;
}