private static HashSet <Frame> my_cluster = new HashSet <Frame>(); //use hashset to coreat a set of cllection of cluster
public void Init(string file, Int32 Distance, Int32 Offset) //inite the cluster
{
List <Point <int> > Centroids = new List <Point <int> >();
MyBitmap orginal_image = new MyBitmap(file);//load orginal picture
this.Generate(ref Centroids, orginal_image, Distance, Offset);
Point <int> Mean = this.calculate_mean(orginal_image, Centroids);//get mean pixcel for list
Frame new_frame = new Frame(orginal_image, Centroids, Mean);
my_cluster.Add(new_frame);
}
//------------------------------------------------------------------------------------------
//------------------------------------------------------------------------------------------
public Point <int> calculate_mean(MyBitmap Image, List <Point <int> > Centroids)
{
//this function allocate and construct mean pixcel for each centroild list:
double mean_x = 0;
double mean_Y = 0;
double total = (double)Centroids.Count();
for (Int32 i = 0; i < Centroids.Count(); i++)
{
mean_x = mean_x + Centroids[i].x / total;
mean_Y = mean_Y + Centroids[i].y / total;
}
Int32 x = Convert.ToInt32(mean_x);
Int32 y = Convert.ToInt32(mean_Y);
Image.LockBits();//locked image
Color color = Image.GetPixel(x, y);
Image.UnlockBits();
return(new Point <int>(x, y, color));
}
public void Generate(ref List <Point <int> > Centroids, MyBitmap Image, Int32 distance_limit, Int32 color_limit)
{
int width = Image.Width;
int height = Image.Height;
Image.LockBits(); //Locks a Bitmap into system memory.
for (Int32 i = 0; i < (width * height); i++) //generate a specific amount of super-pixels
{
Int32 x_random = num_rand.Next(0, width); // random generate x coord for random super pixcel
Int32 y_random = num_rand.Next(0, Image.Height); // random generate y coord for random super pixcel
Point <int> point = new Point <int>(x_random, y_random, Image.GetPixel(x_random, y_random)); //construct point on x and y.
//check if the point is right for color and distance, loop through centroids and check
if (!this.is_right_color(Centroids, point, color_limit) && !this.is_right_distance(Centroids, point, distance_limit))
{
if (!Centroids.Contains(point))
{
Centroids.Add(point);
}
}
}
//now unlock the image:
Image.UnlockBits();
}
public void Compute(string name, string Output)
{
//generate super_pixcel with original pic:
master_cluster.Init(name, distance_limit, color_limit);
// create segmented bitmap:
int master_width = master_cluster[0].frame.Width;
int master_height = master_cluster[0].frame.Height;
MyBitmap final_pic = new MyBitmap(master_width, master_height);
//----------------------------------------------------------------------------------------------
//----------------------------------------------------------------------------------------------
Int32 number = 0;
int master_size = master_cluster.Count();
// Iterate throught the array of clusters until we've process all clusters being generated
for (Int32 i = 0; i < master_size; i++)
{
//for each cluster: get centroid and frame saperatly:
List <Point <int> > Centroids = master_cluster[i].Centroids.ToList();
MyBitmap myFrame = new MyBitmap(master_cluster[i].frame.my_bitmap);
//------------------------------------------------------------------------------------------
//myFrame.Save("Segmented Image" + number + ".png");
//------------------------------------------------------------------------------------------
//lock bits to start modify:
myFrame.LockBits();
//deal with frame first:
for (Int32 j = 0; j < Centroids.Count(); j++)
{
// Obtain the value of Width and Height of the image for the current cluster
Int32 current_w = myFrame.Width;
Int32 current_h = myFrame.Height;
// new bitmap for new cluster:
MyBitmap modefilyable = new MyBitmap(current_w, current_h);
modefilyable.LockBits();
for (Int32 x = 0; x < current_w; x++)
{
for (Int32 y = 0; y < current_h; y++)
{
// For each pixel in this matrix, compute the value of color offset of the current centroid super-pixel
Point <int> first = new Point <int>(x, y, myFrame.GetPixel(x, y));
Point <int> second = new Point <int>(Centroids[j].x, Centroids[j].y, Centroids[j].color);
double color_depth = Euclidian_distance(first, second);
if (color_depth <= 50)
{
modefilyable.SetPixel(x, y, Centroids[j].color);
}
else
{
modefilyable.SetPixel(x, y, Color.FromArgb(255, 255, 255));
}
}
}
modefilyable.UnlockBits();
List <Point <int> > list = new List <Point <int> >();
list.Add(Centroids[0]);
// calculate mean for new cluster:
Point <int> new_avg = master_cluster.calculate_mean(modefilyable, list);
if (new_avg.x != master_cluster[i].Center.x && new_avg.y != master_cluster[i].Center.y)
{
master_cluster.Add(modefilyable, list, new_avg);
}
//increase seg pic by 1:
number++;
}//j second for loop stop here
myFrame.UnlockBits();
}
//----------------------------------------------------------------------------------------------
//----------------------------------------------------------------------------------------------
final_pic.LockBits();
for (Int32 q = 0; q < master_cluster.Count(); q++)
{
MyBitmap seg = new MyBitmap(master_cluster[q].frame.my_bitmap);
int w = seg.Width;
int h = seg.Height;
seg.LockBits();
seg.Save("resulting" + q + ".png");
for (Int32 r = 0; r < w; r++)
{
for (Int32 c = 0; c < h; c++)
{
if (seg.GetPixel(r, c) != Color.FromArgb(255, 255, 255))
{
final_pic.SetPixel(r, c, seg.GetPixel(r, c));
}
}
}
seg.UnlockBits();
}
//----------------------------------------------------------------------------------------------
//----------------------------------------------------------------------------------------------
final_pic.UnlockBits();
//final_pic.Save(Output);
//save the segmented Image into folder:
// Use the DirectoryInfo class for typical operations such as copying, moving, renaming, creating, and deleting directories.
string sourcePath = Directory.GetCurrentDirectory();
DirectoryInfo my_directory = new DirectoryInfo("Segmented Image");
string targetPath = sourcePath + "/Segmented Image";
//create directory:
if (my_directory.Exists == false)
{
Directory.CreateDirectory("Segmented Image");
}
//copy file:
if (System.IO.Directory.Exists(sourcePath))
{
string[] files = System.IO.Directory.GetFiles(sourcePath, "resulting*");
// Copy the files and overwrite destination files if they already exist.
foreach (string s in files)
{
// Use static Path methods to extract only the file name from the path.
string fileName = System.IO.Path.GetFileName(s);
string destFile = System.IO.Path.Combine(targetPath, fileName);
System.IO.File.Copy(s, destFile, true);
}
}
else
{
Console.WriteLine("Source path does not exist!");
}
if (System.IO.Directory.Exists(sourcePath))
{
string[] files = System.IO.Directory.GetFiles(sourcePath, "resulting*");
// Copy the files and overwrite destination files if they already exist.
foreach (string s in files)
{
File.Delete(s);
}
}
else
{
Console.WriteLine("Source path does not exist!");
}
// // Copy each file into it's new directory.
// foreach (FileInfo fi in source.GetFiles()){
// GetFiles(String)
// Console.WriteLine(@"Copying {0}\{1}", target.FullName, fi.Name);
// fi.CopyTo(Path.Combine(target.ToString(), fi.Name), true);
// }
}
//------------------------------------------------------------------------------------------
//------------------------------------------------------------------------------------------
public void Add(MyBitmap Image, List <Point <int> > Centroids, Point <int> center)
{
my_cluster.Add(new Frame(Image, Centroids, center));
}
private List <Point <int> > Centroids_list = null; //define a list centroid pixel
// fram constructor
public Frame(MyBitmap bitmap_frame, List <Point <int> > centroids_list, Point <int> center)
{
this.frame = bitmap_frame;
this.Centroids = centroids_list;
this.Center = center;
}
