public void DoSegment(bool[,] image, out int[,] rows, out int[,] cols)
{
//Count the number of dark pixels per row and column
uint[] colDarkPixelCounts = SegmentationAlgorithmHelpers.CountNumDarkPixelsPerCol(image);
uint[] rowDarkPixelCounts = SegmentationAlgorithmHelpers.CountNumDarkPixelsPerRow(image);
//Calculate the Histograms to select a threshold
BimodalHistogram colHist = new BimodalHistogram(colDarkPixelCounts.ToDoubleArr());
BimodalHistogram rowHist = new BimodalHistogram(rowDarkPixelCounts.ToDoubleArr());
//Find the percentile rank corresponding to the threshold selected from the Histograms
Percentile colPercentile = new Percentile(colDarkPixelCounts.ToDoubleArr());
Percentile rowPercentile = new Percentile(rowDarkPixelCounts.ToDoubleArr());
double colThresholdRank = colPercentile.CalculateRank(colHist.ThresholdValue);
double rowThresholdRank = rowPercentile.CalculateRank(rowHist.ThresholdValue);
//Look up the percentile values for the ranks x either side of the auto-selected ones
double colStartRank = Math.Min(100, colThresholdRank + PERCENTILE_EITHER_SIDE);
double colEndRank = Math.Max(0, colThresholdRank - PERCENTILE_EITHER_SIDE);
double rowStartRank = Math.Min(100, rowThresholdRank + PERCENTILE_EITHER_SIDE);
double rowEndRank = Math.Max(0, rowThresholdRank - PERCENTILE_EITHER_SIDE);
double colStartVal = colPercentile.CalculatePercentile(colStartRank);
double colEndVal = colPercentile.CalculatePercentile(colEndRank);
double rowStartVal = rowPercentile.CalculatePercentile(rowStartRank);
double rowEndVal = rowPercentile.CalculatePercentile(rowEndRank);
//Determine the start & end indices of all the rows & cols, using the calculated start & end threshold vals
uint[,] colChars = SegmentationAlgorithmHelpers.FindCharIndices(colDarkPixelCounts, colStartVal, colEndVal);
uint[,] rowChars = SegmentationAlgorithmHelpers.FindCharIndices(rowDarkPixelCounts, rowStartVal, rowEndVal);
rows = rowChars.ToIntArr();
cols = colChars.ToIntArr();
}
public void TestThresholdValue1()
{
//Test finding the value of the threshold in data where this is trivial
double[] data = { 1, 3 };
BimodalHistogram hist = new BimodalHistogram(data, 1, 4, 3);
//Check bins are as expected
uint[] expectedBins = { 1, 0, 1 };
CollectionAssert.AreEqual(expectedBins, hist.Bins);
//Check the threshold value selected
double expected = 2;
Assert.AreEqual(expected, hist.ThresholdValue);
}
public void TestThreshold2()
{
//Test finding threshold in data similar to two gaussians not quite fully separated
double[] data = { 1, 2, 2, 3, 3, 3, 3, 4, 4, 5, 5, 5, 5, 6, 6, 7 };
BimodalHistogram hist = new BimodalHistogram(data, 1, 7, 7);
//Check bins are as expected
uint[] expectedBins = { 1, 2, 4, 2, 4, 2, 1 };
CollectionAssert.AreEqual(expectedBins, hist.Bins);
//Check the threshold index selected
int expected = 3;
Assert.AreEqual(expected, hist.ThresholdBinIdx);
}
public void TestThreshold1()
{
//Test finding the threshold in data where this is trivial
double[] data = { 1, 3 };
BimodalHistogram hist = new BimodalHistogram(data, 1, 3, 3);
//Check bins are as expected
uint[] expectedBins = { 1, 0, 1 };
CollectionAssert.AreEqual(expectedBins, hist.Bins);
//Check the threshold index selected
int expected = 1;
Assert.AreEqual(expected, hist.ThresholdBinIdx);
}
public void DoSegment(bool[,] image, out int[,] rows, out int[,] cols)
{
//Count the number of dark pixels per row and column
uint[] colDarkPixelCounts = SegmentationAlgorithmHelpers.CountNumDarkPixelsPerCol(image);
uint[] rowDarkPixelCounts = SegmentationAlgorithmHelpers.CountNumDarkPixelsPerRow(image);
//Calculate the thresholds to use
BimodalHistogram colHist = new BimodalHistogram(colDarkPixelCounts.ToDoubleArr(), HISTOGRAM_NUM_BINS);
BimodalHistogram rowHist = new BimodalHistogram(rowDarkPixelCounts.ToDoubleArr(), HISTOGRAM_NUM_BINS);
//Determine the start & end indices of all the rows & cols
uint[,] colChars = SegmentationAlgorithmHelpers.FindCharIndices(colDarkPixelCounts, colHist.ThresholdValue);
uint[,] rowChars = SegmentationAlgorithmHelpers.FindCharIndices(rowDarkPixelCounts, rowHist.ThresholdValue);
rows = rowChars.ToIntArr();
cols = colChars.ToIntArr();
}
