private Bitmap CutTopBottom(Bitmap origin, PlateVerticalGraph graph)
{
graph.ApplyProbabilityDistributor(new Graph.ProbabilityDistributor(0f, 0f, 2, 2));
Graph.Peak p = graph.FindPeak(3)[0];
return(origin.Clone(new Rectangle(0, p.Left, Image.Width, p.GetDiff()), PixelFormat.Format8bppIndexed
));
}
private PlateVerticalGraph HistogramYaxis(Bitmap bitmap)
{
PlateVerticalGraph graph = new PlateVerticalGraph(this);
int w = bitmap.Width;
int h = bitmap.Height;
for (int y = 0; y < h; y++)
{
float counter = 0;
for (int x = 0; x < w; x++)
{
counter += GetBrightness(bitmap, x, y);
}
graph.AddPeak(counter);
}
return(graph);
}
public void Normalize()
{
Plate clone1 = Clone();
clone1.VerticalEdgeDetector(clone1.GetBitmap());
PlateVerticalGraph vertical = clone1.HistogramYaxis(clone1.GetBitmap());
Image = CutTopBottom(Image, vertical);
PlateCopy.Image = CutTopBottom(PlateCopy.Image, vertical);
Plate clone2 = Clone();
if (HorizontalDetectionType == 1)
{
clone2.HorizontalEdgeDetector(clone2.GetBitmap());
}
PlateHorizontalGraph horizontal = clone1.HistogramXAxis(clone2.GetBitmap());
Image = CutLeftRight(Image, horizontal);
PlateCopy.Image = CutLeftRight(PlateCopy.Image, horizontal);
}
public PeakComparer(PlateVerticalGraph graph)
{
this.graphHandle = graph;
}
