public static Bitmap CreateImageDiff(Bitmap a, Bitmap b, IReadOnlyList <BlindRegion> globalBlindRegions)
{
var unified = UnifiImagesDimensions(a, b);
var filter = new ThresholdedDifference(0)
{
OverlayImage = unified.Item1
};
var imageDiff = filter.Apply(unified.Item2);
DilatationFilter.ApplyInPlace(imageDiff);
var fixedBitmap = CloneBitmapFormat(imageDiff);
MarkBlindRegions(fixedBitmap, globalBlindRegions);
var result = CloneBitmapFormat(unified.Item2);
DrawBounds(fixedBitmap, result);
return(result);
}
/// <summary>
/// Processes the specified image.
/// </summary>
/// <param name="image">The image.</param>
/// <remarks></remarks>
public void Process(Bitmap image)
{
//Graphics g = Graphics.FromImage(image);
/*
* float area = image.Width * image.Height;
* float borderWidth = (float)Math.Max(3, Math.Round(0.25 * (area / 1024)));
*
* g.DrawRectangle(new Pen(Color.Black, borderWidth), 0, 0, image.Width - 1, image.Height - 1);
* g.Dispose();
*/
image = grayscale.Apply(image);
//ContrastStretch filter = new ContrastStretch();
//HistogramEqualization filter = new HistogramEqualization();
//ContrastCorrection filter = new ContrastCorrection(0.5);
//BrightnessCorrection filter = new BrightnessCorrection(-0.15);
//GammaCorrection filter = new GammaCorrection(1.5);
//filter.ApplyInPlace(image);
threshold.ApplyInPlace(image);
invert.ApplyInPlace(image);
float sideAvg = (image.Width + image.Height) / 2;
float borderWidth = (float)Math.Max(2, Math.Round(0.02 * sideAvg));
Bitmap temp = new Bitmap(image.Width, image.Height);
Graphics g = Graphics.FromImage(temp);
g.DrawImageUnscaled(image, 0, 0);
g.DrawRectangle(new Pen(Color.White, borderWidth), 0, 0, image.Width - 1, image.Height - 1);
g.Dispose();
image = (new Threshold()).Apply(grayscale.Apply(temp));
floodFill.StartingPoint = new IntPoint(0, 0);
floodFill.ApplyInPlace(image);
blobCounter.ProcessImage(image);
Blob[] blobs = blobCounter.GetObjectsInformation();
//Results = new List<OCRResult>();
Results.Clear();
foreach (Blob b in blobs)
{
int w = b.Rectangle.Width;
int h = b.Rectangle.Height;
if (w > 16 && h > 16 && h < 24)
{
w = 16;
h = 16;
}
else
//{
if (!(w >= 3 && w <= 5 && h >= 14 && h <= 17 && b.Fullness > 0.6f))
{
//Bitmap test = image.Clone(new Rectangle(b.Rectangle.X, b.Rectangle.Y, w, h), PixelFormat.Format24bppRgb);
if (b.Area < 20 || b.Fullness < 0.2f || b.Fullness > 0.9f || h > 18)
{
continue;
}
}
//}
//blobCounter.MinWidth = 3;
//blobCounter.MinHeight = 10;
//if (b.Area < 20 || b.Fullness > 0.9f) continue;
Bitmap slice = image.Clone(new Rectangle(b.Rectangle.X, b.Rectangle.Y, w, h), PixelFormat.Format24bppRgb);
slice = grayscale.Apply(slice);
slice = resize.Apply(slice);
dilate.ApplyInPlace(slice);
if (Recognise)
{
Result res = classifier.Classify(new Instance("?", BitmapFeatureExtract(slice)));
Results.Add(new OCRResult(b, slice, res.Class, res.Value.ToString()));
}
else
{
Results.Add(new OCRResult(b, slice, "?", ""));
}
}
}
