public void InitialAverage() { var statistic = new RunningStatistics(span); double[] data = new[] { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 }; for (int i = 0; i < span; i++) { statistic.Add(data[i]); double mean = 0; double variance = 0; for (int j = 0; j <= i; j++) { mean += data[j]; } mean /= i + 1; Assert.That(statistic.Mean, Is.EqualTo(mean).Within(0.00001), "Initial mean i = " + i); if (i != 0) { for (int j = 0; j <= i; j++) { double term = data[j] - mean; variance += (term * term); } variance /= (i + 1); } Assert.That(statistic.Variance, Is.EqualTo(variance).Within(0.00001), "Initial variance i = " + i); } for (int i = span; i < data.Length; i++) { statistic.Add(data[i]); double mean = 0.0; double variance = 0; for (int j = i - span + 1; j <= i; j++) { mean += data[j]; } mean /= span; Assert.That(statistic.Mean, Is.EqualTo(mean).Within(0.00001), "Running mean i = " + i); for (int j = i - span + 1; j <= i; j++) { double term = data[j] - mean; variance += (term * term); } variance /= (span); Assert.That(statistic.Variance, Is.EqualTo(variance).Within(0.00001), "Running variance i = " + i); } }
/// <summary> /// Analyze the scanline Scanline around point XCenter /// </summary> public void Analyze() { if (!XCenter.HasValue && !ScanLine.HasValue) { throw new Exception(); } int x = (int)XCenter; int y = (int)ScanLine; double start = Image[x, y]; double meanMax = 0.0; var stats = new RunningStatistics(5); stats.Add(Image[x, y]); stats.Add(Image[x - 1, y]); int dx = x - 1; double stdDev; double mean; do { stats.Add(Image[--dx, y]); stdDev = Math.Sqrt(stats.Variance); mean = stats.Mean; if (mean > meanMax) { meanMax = mean; } } while (Math.Abs(mean - LeftBackground) > 3 * LeftBackgroundDeviation); LeftBackgroundPosition = dx + 1; LeftBackground = mean; LeftBackgroundDeviation = stdDev; stats.Clear(5); stats.Add(Image[x, y]); stats.Add(Image[x - 1, y]); dx = x + 1; do { stats.Add(Image[++dx, y]); stdDev = Math.Sqrt(stats.Variance); mean = stats.Mean; if (mean > meanMax) { meanMax = mean; } } while (Math.Abs(mean - RightBackground) > 3 * RightBackgroundDeviation); RightBackgroundPosition = dx - 1; RightBackground = mean; RightBackgroundDeviation = stdDev; IsBackgroundLine = (Math.Abs(meanMax - LeftBackground) < 3 * LeftBackgroundDeviation) && (Math.Abs(meanMax - RightBackground) < 3 * RightBackgroundDeviation); }
public bool FindBackground() { if (!XCenter.HasValue && !ScanLine.HasValue) { throw new Exception(); } int x = (int)XCenter; int y = (int)ScanLine; double start = Image[x, y]; var stats = new RunningStatistics(5); stats.Add(Image[x, y]); stats.Add(Image[x - 1, y]); int dx = x - 1; double stdDev; double mean; double lastVariance; do { lastVariance = stats.Variance; stats.Add(Image[--dx, y]); stdDev = Math.Sqrt(stats.Variance); mean = stats.Mean; } while (stats.Variance < lastVariance || Math.Abs(mean - start) < 3 * stdDev); LeftBackgroundPosition = dx + 1; LeftBackground = mean; LeftBackgroundDeviation = stdDev; stats.Clear(5); stats.Add(Image[x, y]); stats.Add(Image[x - 1, y]); dx = x + 1; do { lastVariance = stats.Variance; stats.Add(Image[++dx, y]); stdDev = Math.Sqrt(stats.Variance); mean = stats.Mean; } while (stats.Variance < lastVariance || Math.Abs(mean - start) < 3 * stdDev); RightBackgroundPosition = dx - 1; RightBackground = mean; RightBackgroundDeviation = stdDev; IsBackgroundLine = false; return(true); }
public void InitialAverage() { var statistic = new RunningStatistics(span); double[] data = new[] { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 }; for (int i = 0; i < span; i++) { statistic.Add(data[i]); double mean = 0; double variance = 0; for (int j = 0; j <= i; j++) { mean += data[j]; } mean /= i + 1; Assert.That(statistic.Mean, Is.EqualTo(mean).Within(0.00001), "Initial mean i = " + i); if (i != 0) { for (int j = 0; j <= i; j++) { double term = data[j] - mean; variance += (term * term); } variance /= (i + 1); } Assert.That(statistic.Variance, Is.EqualTo(variance).Within(0.00001), "Initial variance i = " + i); } for (int i = span; i < data.Length; i++) { statistic.Add(data[i]); double mean = 0.0; double variance = 0; for (int j = i - span + 1; j <= i; j++) { mean += data[j]; } mean /= span; Assert.That(statistic.Mean, Is.EqualTo(mean).Within(0.00001), "Running mean i = " + i); for (int j = i - span + 1; j <= i; j++) { double term = data[j] - mean; variance += (term * term); } variance /= (span); Assert.That(statistic.Variance, Is.EqualTo(variance).Within(0.00001), "Running variance i = " + i); } }
public bool FindBackground() { if (!XCenter.HasValue && !ScanLine.HasValue) { throw new Exception(); } int x = (int)XCenter; int y = (int)ScanLine; double start = Image[x, y]; var stats = new RunningStatistics(5); stats.Add(Image[x, y]); stats.Add(Image[x - 1, y]); int dx = x- 1; double stdDev; double mean; double lastVariance; do { lastVariance = stats.Variance; stats.Add(Image[--dx, y]); stdDev = Math.Sqrt(stats.Variance); mean = stats.Mean; } while (stats.Variance < lastVariance || Math.Abs(mean - start) < 3 * stdDev); LeftBackgroundPosition = dx + 1; LeftBackground = mean; LeftBackgroundDeviation = stdDev; stats.Clear(5); stats.Add(Image[x, y]); stats.Add(Image[x - 1, y]); dx = x + 1; do { lastVariance = stats.Variance; stats.Add(Image[++dx, y]); stdDev = Math.Sqrt(stats.Variance); mean = stats.Mean; } while (stats.Variance < lastVariance || Math.Abs(mean - start) < 3 * stdDev); RightBackgroundPosition = dx - 1; RightBackground = mean; RightBackgroundDeviation = stdDev; IsBackgroundLine = false; return true; }
/// <summary> /// Analyze the scanline Scanline around point XCenter /// </summary> public void Analyze() { if (!XCenter.HasValue && !ScanLine.HasValue) { throw new Exception(); } int x = (int)XCenter; int y = (int)ScanLine; double start = Image[x, y]; double meanMax = 0.0; var stats = new RunningStatistics(5); stats.Add(Image[x, y]); stats.Add(Image[x - 1, y]); int dx = x - 1; double stdDev; double mean; do { stats.Add(Image[--dx, y]); stdDev = Math.Sqrt(stats.Variance); mean = stats.Mean; if (mean > meanMax) { meanMax = mean; } } while (Math.Abs(mean - LeftBackground) > 3 * LeftBackgroundDeviation); LeftBackgroundPosition = dx + 1; LeftBackground = mean; LeftBackgroundDeviation = stdDev; stats.Clear(5); stats.Add(Image[x, y]); stats.Add(Image[x - 1, y]); dx = x + 1; do { stats.Add(Image[++dx, y]); stdDev = Math.Sqrt(stats.Variance); mean = stats.Mean; if (mean > meanMax) { meanMax = mean; } } while (Math.Abs(mean - RightBackground) > 3 * RightBackgroundDeviation); RightBackgroundPosition = dx - 1; RightBackground = mean; RightBackgroundDeviation = stdDev; IsBackgroundLine = (Math.Abs(meanMax - LeftBackground) < 3 * LeftBackgroundDeviation) && (Math.Abs(meanMax - RightBackground) < 3 * RightBackgroundDeviation); }