public void Apply(string inputPath, double uniquenessThresh, int tm, int hessianThresh)
{
Stopwatch watch = Stopwatch.StartNew();
ArrayList allMatches = new ArrayList();
Tuple <Image <Bgr, byte>, float[]> drawResult;
float[] recStat;
// Handling file names.
string topic = "";
TextWriter log = File.AppendText(inputPath + topic + "/log.txt");
// Read images.
Image <Bgr, Byte> element = new Image <Bgr, Byte>(string.Format("{0}{1}/in/element.png", inputPath, topic));
Image <Bgr, Byte> test = new Image <Bgr, Byte>(string.Format("{0}{1}/in/test.png", inputPath, topic));
Bitmap window = test.ToBitmap();
// Convert to gray-level images and save.
Image <Gray, Byte> gElement = element.Convert <Gray, Byte>();
Image <Gray, Byte> gTest = test.Convert <Gray, Byte>();
gElement.Save(string.Format("{0}{1}/in/g-element.png", inputPath, topic));
gTest.Save(string.Format("{0}{1}/in/g-test.png", inputPath, topic));
// Get image dimensions.
int wfactor = 2;
// The size of the element image.
int ex = element.Width;
int ey = element.Height;
// The size of the test image.
int tx = test.Width;
int ty = test.Height;
// The distance that the sliding window shifts.
int xshift = tx / ex / wfactor * 2 - 1;
int yshift = ty / ey / wfactor * 2 - 1;
log.WriteLine(string.Format("Element Image: ({0}*{1})\nTest Image:({2}*{3})\n", ex, ey, tx, ty));
for (int j = 0; j < yshift; j++)
{
for (int i = 0; i < xshift; i++)
{
int xstart = i * ex * wfactor / 2;
int ystart = j * ey * wfactor / 2;
int counter = i + j * xshift;
Rectangle r = new Rectangle(xstart, ystart, ex * wfactor, ey * wfactor);
Image <Bgr, Byte> pTest = new Image <Bgr, Byte>(window.Clone(r, window.PixelFormat));
pTest.Save(string.Format("{0}{1}/in/part.jpg", inputPath, topic));
drawResult = DrawMatches.Draw(gElement, pTest.Convert <Gray, Byte>(), test, xstart, ystart, inputPath, topic, counter, log, uniquenessThresh, tm, hessianThresh);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
log.WriteLine(string.Format("\n\nSub-image #{0}:\n\tLoop #({1}, {2})\n\tSW1 location: ({3}, {4})", counter, i, j, xstart, ystart));
test = drawResult.Item1;
recStat = drawResult.Item2;
if (recStat[2] > 0)
{
allMatches.Add(recStat);
log.WriteLine(string.Format("\n\tSW2 location: ({0}, {1})\n\tHistogram score: {2}]", recStat[0], recStat[1], recStat[2]));
}
}
}
log.WriteLine("The count before consolidation: " + allMatches.Count);
HashSet <float[]> hash0 = DrawMatches.Consolidate(allMatches, gElement.Width - 1, gElement.Height - 1, log);
ArrayList al = new ArrayList();
foreach (float[] i in hash0)
{
al.Add(i);
}
HashSet <float[]> hash = DrawMatches.Consolidate(al, gElement.Width - 1, gElement.Height - 1, log);
log.WriteLine("The count after consolidation: " + hash.Count);
//Blue
TextWriter coordinatesOnMapBlue = File.AppendText(inputPath + topic + "/coordinatesOnMapBlue.txt");
foreach (float[] i in hash)
{
test.Draw(new Rectangle(new Point((int)i[0], (int)i[1]), gElement.Size), new Bgr(Color.Blue), 5);
coordinatesOnMapBlue.WriteLine("x= " + (int)i[0] + ", y=" + (int)i[1] + "");
}
coordinatesOnMapBlue.Close();
test.Save(string.Format("{0}{1}/out.jpg", inputPath, topic));
watch.Stop();
log.WriteLine(watch.Elapsed);
log.Close();
}
