private static void Main(string[] args)
{
CvInvoke.UseOptimized = true;
CvInvoke.UseOpenCL = true;
String filePath = OpenFile(@"/test images");
using (Edge edge = new Edge(filePath, true))
{
RandomizedCircleDetection randmoizedCircleDetect = new RandomizedCircleDetection(edge, 30, 2000, 15, 1,
0.01, 0.08, 0.47, EdgeType.CANNY_EDGE, false);
List <int[]> circles = randmoizedCircleDetect.DetectCircles();
if (circles.Count != 0)
{
Console.WriteLine("Randomized Circle Detection");
Console.WriteLine("CX, CY, R");
Console.Write(circles[0][0]);
Console.Write(", ");
Console.Write(circles[0][1]);
Console.Write(", ");
Console.Write(circles[0][2]);
Console.WriteLine(" ");
Image <Bgr, byte> image = edge.GetOriginalImage();
CvInvoke.Circle(image, new Point(circles[0][0], circles[0][1]), circles[0][2],
new MCvScalar(1, 123, 100), 5);
ImageView.imShow(image);
}
else
{
Console.WriteLine("No Circle Found");
ImageView.imShow(edge.GetBinaryEdgeImage());
}
FastRandomizedCircleDetection frandCircleDetect = new FastRandomizedCircleDetection(edge, 30, 2000, 15, 1,
0.01, 0.08, 0.47, EdgeType.CANNY_EDGE, false);
circles = frandCircleDetect.DetectCircles();
if (circles.Count != 0)
{
Console.WriteLine("Fast Randomized Circle Detection");
Console.WriteLine("CX, CY, R");
Console.Write(circles[0][0]);
Console.Write(", ");
Console.Write(circles[0][1]);
Console.Write(", ");
Console.Write(circles[0][2]);
Console.WriteLine(" ");
Image <Bgr, byte> image = edge.GetOriginalImage();
CvInvoke.Circle(image, new Point(circles[0][0], circles[0][1]), circles[0][2],
new MCvScalar(1, 123, 100), 5);
ImageView.imShow(image);
}
else
{
Console.WriteLine("No Circle Found");
ImageView.imShow(edge.GetBinaryEdgeImage());
}
}
}
public static void RandomizedCircleMain(string file)
{
var detectedTimes = 0;
for (var c = 1; c <= 1; c++)
{
Stopwatch stopWatch = new Stopwatch();
stopWatch.Start();
using (Edge edge = new Edge(file, true))
{
RandomizedCircleDetection randCircleDetect = new RandomizedCircleDetection(edge, 30, 2000, 15, 1,
0.01, 0.08, 0.47, EdgeType.CANNY_EDGE, false);
// FastRandomizedCircleDetection frandCircleDetect = new FastRandomizedCircleDetection(edge, 30, 150, 30, 1, 0.015, 0.035, 0.3, EdgeType.MORPHOLOGICAL_THINNING, false);
List <int[]> circles = randCircleDetect.DetectCircles();
//List<int[]> circles = frandCircleDetect.detectCircles();
stopWatch.Stop();
Console.WriteLine("Elapsed Time: " + stopWatch.ElapsedMilliseconds.ToString() + "ms");
Console.WriteLine("Fail Count = " + randCircleDetect.FailCount);
Console.WriteLine("Edge Count = " + edge.GetEdgePointsCount());
Console.WriteLine("Image Density = " + randCircleDetect.ImageDensity);
//Console.WriteLine("Edges Count :" + edge.GetEdgePointsCount());
if (circles.Count != 0)
{
detectedTimes++;
Console.WriteLine(circles[0][0]);
Console.WriteLine(circles[0][1]);
Console.WriteLine(circles[0][2]);
Image <Bgr, byte> image = edge.GetOriginalImage();
CvInvoke.Circle(image, new Point(circles[0][0], circles[0][1]), circles[0][2],
new MCvScalar(1, 123, 100), 1);
ImageView.imShow(image, edge.GetBinaryEdgeImage());
//CircleDeleter deleter = new CircleDeleter(edge.GetGrayImage(), circles[0][0], circles[0][1], circles[0][2]);
//Image<Gray, byte> textImage = deleter.deleteCircle();
//Image<Gray, byte> textImage1 = new Image<Gray, byte>(edge.Rows, edge.Cols);
//CvInvoke.MedianBlur(textImage, textImage1, 3);
//ImageView.imShow(textImage, textImage1);
}
else
{
// Console.WriteLine("No Circle Found");
// ImageView.imShow(edge.GetBinaryEdgeImage());
}
// ImageView.imShow(edge.getBinaryEdgeImage());
Console.WriteLine("Round No.: " + c + " detected Times: " + detectedTimes);
}
}
}
public static void batchProcess(string sourceDir, string destinationDir)
{
XLWorkbook workBook;
workBook = File.Exists(destinationDir + "//results.xlsx") ? new XLWorkbook(destinationDir + "//results.xlsx") : new XLWorkbook();
string[] dirs = Directory.GetDirectories(sourceDir);
double totalDirs = dirs.Length;
double currentdir = 0;
Console.WriteLine("Processed 0 %");
foreach (string dir in dirs)
{
currentdir++;
string[] files = Directory.GetFiles(dir);
Console.WriteLine("Processing Directory : " + dir);
string destinationPath = destinationDir + @"\" + dir.Replace(sourceDir + @"\", "");
if (Directory.Exists(destinationPath))
{
continue;
}
var sheetName = Path.GetFileName(dir).Trim();
if (sheetName.Length >= 31)
{
sheetName = sheetName.Substring(0, 9) + " " + sheetName.Substring(sheetName.Length - 10);
}
var workSheet = workBook.Worksheets.Add(sheetName);
workSheet.Cell(1, 1).Value = "File Name";
workSheet.Cell(1, 2).Value = "Circle Status";
workSheet.Cell(1, 3).Value = "Center";
workSheet.Cell(1, 4).Value = "Radius";
workSheet.Cell(1, 5).Value = "FailCount";
workSheet.Cell(1, 6).Value = "Time Elapsed";
workSheet.Cell(1, 7).Value = "Output";
workSheet.Cell(1, 8).Value = "image Density";
workSheet.Cell(1, 9).Value = "Edge Points Count";
Directory.CreateDirectory(destinationPath);
FileStream densityFile1 = File.Create(destinationPath + "/densities.txt");
Directory.CreateDirectory(destinationPath + "/Undetected Circles");
FileStream densityFile2 = File.Create(destinationPath + "/Undetected Circles" + "/densities.txt");
Directory.CreateDirectory(destinationPath + "/ByPassed Images");
var index = 1;
foreach (string file in files)
{
string fileName = Path.GetFileNameWithoutExtension(file);
try
{
Convert.ToInt32(fileName);
index++;
//Console.WriteLine(file);
workSheet.Cell(index, 1).SetValue(fileName).Hyperlink = new XLHyperlink(new Uri(file));
Stopwatch watch = new Stopwatch();
watch.Start();
Edge edgeObject = new Edge(file, true);
RandomizedCircleDetection randCircleDetect = new RandomizedCircleDetection(edgeObject, 30, 2000, 15, 1,
0.01, 0.08, 0.47, EdgeType.CANNY_EDGE, false);
List <int[]> circles = randCircleDetect.DetectCircles();
watch.Stop();
string density;
byte[] bytes;
if (circles.Count != 0)
{
workSheet.Cell(index, 2).SetValue(true);
workSheet.Cell(index, 2).Style.Font.SetFontColor(XLColor.Green);
workSheet.Cell(index, 3).SetValue(new Point(circles[0][0], circles[0][1]));
workSheet.Cell(index, 4).SetValue(circles[0][2]);
Image <Bgr, byte> image = edgeObject.GetOriginalImage();
CvInvoke.Circle(image, new Point(circles[0][0], circles[0][1]), circles[0][2],
new MCvScalar(1, 123, 100), 5);
//File.Copy(file, destinationPath + "/" + fileName + ".png", true);
//CircleDeleter deleter = new CircleDeleter(edgeObject.GetGrayImage(), circles[0][0], circles[0][1], circles[0][2]);
//Image<Gray,byte> textImage = deleter.deleteCircle();
//CvInvoke.MedianBlur(textImage, textImage, 3);
CvInvoke.Imwrite(destinationPath + @"\" + fileName + ".png", image);
// Console.WriteLine(destinationPath + @"\" + fileName + ".png");
var temp = destinationPath + Path.DirectorySeparatorChar + fileName + ".png";
density = ((double)edgeObject.GetEdgePointsCount() / (double)(edgeObject.Rows * edgeObject.Cols)).ToString() + ": " + file;
bytes = Encoding.ASCII.GetBytes(density.ToCharArray());
densityFile1.Write(bytes, 0, bytes.Length);
bytes = Encoding.ASCII.GetBytes(Environment.NewLine);
densityFile1.Write(bytes, 0, bytes.Length);
workSheet.Cell(index, 7).SetValue(fileName).Hyperlink = new XLHyperlink(new Uri(temp));
}
else
{
workSheet.Cell(index, 2).SetValue(false);
workSheet.Cell(index, 2).Style.Font.SetFontColor(XLColor.Red);
File.Copy(file, destinationPath + "/Undetected Circles/" + fileName + ".png", true);
workSheet.Cell(index, 3).SetValue("NIL");
workSheet.Cell(index, 4).SetValue("NIL");
workSheet.Cell(index, 7).SetValue("NIL");
density = ((double)edgeObject.GetEdgePointsCount() / (double)(edgeObject.Rows * edgeObject.Cols)).ToString() + ": " + file;
bytes = Encoding.ASCII.GetBytes(density.ToCharArray());
densityFile2.Write(bytes, 0, bytes.Length);
bytes = Encoding.ASCII.GetBytes(Environment.NewLine);
densityFile2.Write(bytes, 0, bytes.Length);
}
workSheet.Cell(index, 5).SetValue(randCircleDetect.FailCount);
workSheet.Cell(index, 6).SetValue(watch.ElapsedMilliseconds.ToString() + "ms");
workSheet.Cell(index, 8).SetValue(randCircleDetect.ImageDensity);
workSheet.Cell(index, 9).SetValue(edgeObject.GetEdgePointsCount());
}
catch (Exception)
{
File.Copy(file, destinationPath + "/ByPassed Images/" + fileName + ".png", true);
}
}
index += 3;
workSheet.Cell(index, 3).SetValue("Edge Type");
workSheet.Cell(index, 3).Style.Font.SetBold();
workSheet.Cell(index, 4).SetValue("Canny Edge");
workSheet.Cell(index, 4).Style.Font.SetBold();
index++;
workSheet.Cell(index, 3).SetValue("Min Edge Pts in Image Threshold");
workSheet.Cell(index, 3).Style.Font.SetBold();
workSheet.Cell(index, 4).SetValue("30");
workSheet.Cell(index, 4).Style.Font.SetBold();
index++;
workSheet.Cell(index, 3).SetValue("Min Dist Btwn Edge Pts in Image Threshold");
workSheet.Cell(index, 3).Style.Font.SetBold();
workSheet.Cell(index, 4).SetValue("15");
workSheet.Cell(index, 4).Style.Font.SetBold();
index++;
workSheet.Cell(index, 3).SetValue("Allowed Radius Error");
workSheet.Cell(index, 3).Style.Font.SetBold();
workSheet.Cell(index, 4).SetValue("1");
workSheet.Cell(index, 4).Style.Font.SetBold();
index++;
workSheet.Cell(index, 3).SetValue("Circumfrence range");
workSheet.Cell(index, 3).Style.Font.SetBold();
workSheet.Cell(index, 4).SetValue("0.47");
workSheet.Cell(index, 4).Style.Font.SetBold();
index++;
workSheet.Cell(index, 3).SetValue("Max Allowed Fail Count");
workSheet.Cell(index, 3).Style.Font.SetBold();
workSheet.Cell(index, 4).SetValue("2000");
workSheet.Cell(index, 4).Style.Font.SetBold();
index++;
workSheet.Cell(index, 3).SetValue("Min Allowed Image Density");
workSheet.Cell(index, 3).Style.Font.SetBold();
workSheet.Cell(index, 4).SetValue("0.01");
workSheet.Cell(index, 4).Style.Font.SetBold();
index++;
workSheet.Cell(index, 3).SetValue("Max Allowed Image Density");
workSheet.Cell(index, 3).Style.Font.SetBold();
workSheet.Cell(index, 4).SetValue("0.08");
workSheet.Cell(index, 4).Style.Font.SetBold();
densityFile1.Close();
densityFile2.Close();
Console.WriteLine("Processed : " + (currentdir * 100 / totalDirs));
}
if (File.Exists(destinationDir + "//results.xlsx"))
{
workBook.Save();
}
else
{
workBook.SaveAs(destinationDir + Path.DirectorySeparatorChar + "results.xlsx");
}
}