//[AcceptVerbs(HttpVerbs.Post)]
public ActionResult SaveSize(string Id)
{
string pickSize = Id;
ViewData["Size"] = pickSize;
Session["Size"] = pickSize;
switch (pickSize)
{
case "Small": ViewData["k"]=Session["ks"];
break;
case "Large": ViewData["k"]=Session["k"];
break;
case "Normal": ViewData["k"]=Session["km"];
break;
}
Bitmap bt = (Bitmap)Session["Image"];
try
{
System.IO.File.Delete((string)Session["File"]);
}
catch { }
int M;
M = (int)ViewData["k"];
int X1 = bt.Width - bt.Width % M;
int Y1 = bt.Height - bt.Height % M;
int X = (bt.Width - bt.Width % M) / M;
int Y = (bt.Height - bt.Height % M) / M;
MyProject.ImageWorker.Picture picture = new MyProject.ImageWorker.Picture(bt.Height - bt.Height % M, bt.Width - bt.Width % M);
/*generate table*/
//Thread drawTable = new Thread(DrawTable);
//drawTable.Start();
//Bitmap bt2 = new Bitmap(X, Y);
/*Smooth picture*/
int R, G, B;
imagePix = new Color[X, Y];
Color c = new Color();
string grid = string.Empty;
Dictionary<Color, List<ImageWorker.Point>> imageDict = new Dictionary<Color, List<ImageWorker.Point>>();
for (int i = 0; i < Y1; i = i + M)
{
for (int j = 0; j < X1; j = j + M)
{
R = 0; G = 0; B = 0;
for (int i1 = 0; i1 < M; i1++)
for (int j1 = 0; j1 < M; j1++)
{
c = bt.GetPixel(j1 + j, i1 + i);
R = c.R + R;
G = c.G + G;
B = c.B + B;
}
Color newcolor = Color.FromArgb(R / M / M, G / M / M, B / M / M);
List<Color> check=new List<Color>();
int ii = i / M;
int jj = j / M;
//if (i >= 1)
//{
// check.Add(imagePix[jj, ii - 1]);
//}
//if (j >= 1)
//{
// check.Add(imagePix[jj-1, ii]);
//}
//if (j >= 1&& i>=1)
//{
// check.Add(imagePix[jj - 1, ii-1]);
//}
//List<Color> res = new List<Color>();
//res = check.FindAll(x => ImageWorker.CountDifferenceBetweenColors(newcolor, x) <= 3);
//if (res.Count==0)
//{
imagePix[jj,ii] = newcolor;
//}
//else
//{
// imagePix[jj, ii] = res.OrderBy(x => ImageWorker.CountDifferenceBetweenColors(newcolor, x)).First();
//}
if (!imageDict.ContainsKey(imagePix[jj, ii]))
{
List<Color> possibeColors = (from x in imageDict.Keys
where ImageWorker.CountDifferenceBetweenColors(x, imagePix[jj, ii]) < 5
orderby ImageWorker.CountDifferenceBetweenColors(x, imagePix[jj, ii])
select x).ToList();
if (possibeColors.Count>0)
{
imageDict[possibeColors[0]].Add(new ImageWorker.Point() { x = jj, y = ii });
}
else
{
imageDict.Add(imagePix[jj, ii], new List<ImageWorker.Point>());
imageDict[imagePix[jj, ii]].Add(new ImageWorker.Point() { x = jj, y = ii });
}
}
else
{
imageDict[imagePix[jj, ii]].Add(new ImageWorker.Point() { x = jj, y = ii });
}
}
}
string f=System.IO.Path.GetFileName(Session["File"].ToString());
// bt2.Save(AppDomain.CurrentDomain.BaseDirectory+"Files/tmp_"+f);
ViewData["imagePic"] = imagePix;
Session["imagePic"] = imagePix;
Session.Remove("imageDic");
Session.Add("imageDic", imageDict);
//Session["imageDic"] = imageDict;
ViewData["X"] = X;
ViewData["Y"] = Y;
Session["X"] = X;
Session["Y"] = Y; Session["kl"] = ViewData["k"];
return View();
}
public ActionResult Threads(string Id)
{
string pickType = Id;
DateTime start = DateTime.Now;
int X=(int)Session["X"];
int Y = (int)Session["Y"];
Dictionary<Color, List<ImageWorker.Point>> imageDict=new Dictionary<Color,List<ImageWorker.Point>>();
imageDict = (Dictionary<Color, List<ImageWorker.Point>>)Session["imageDic"];
double Smooth = 0.001;
double XYSmooth = X * Y * Smooth;
ImageWorker worker = new ImageWorker();
List<ImageWorker.ColorMul> MulNab = worker.GetColors(pickType);
MyProject.ImageWorker.Picture picture = new MyProject.ImageWorker.Picture((int)Session["Y"],(int)Session["X"]);
int h1 = ((Dictionary<Color, List<ImageWorker.Point>>)Session["imageDic"]).Values.Sum(x => x.Count);
Session.Remove("imageDic");
Session.Add("imageDic", imageDict);
int h = imageDict.Values.Sum(x => x.Count);
foreach (Color c in imageDict.Keys)
{
MyProject.ImageWorker.ColorMul cm = worker.FindColor(c, ref MulNab);
List<ImageWorker.ColorArray> t=picture.Color_array.FindAll(x => ImageWorker.CountDifferenceBetweenColors(x.color.color, cm.color) < 15);
if (t.Count > 0)
{
picture.AddPoint(t.First().color, imageDict[c].AsReadOnly());
}
else
{
picture.AddPoint(cm, imageDict[c].AsReadOnly());
}
}
DateTime findColors = DateTime.Now;
string size = Session["Size"] as string;
int kk = 0;
switch (size)
{
case "Small": kk = 50;
break;
case "Large": kk = 100;
break;
case "Normal": kk = 80;
break;
}
while (picture.Color_array.Count > kk)
{
ImageWorker.ColorMul reduceColor = (from x in picture.Color_array
from y in picture.Color_array
where x!=y
orderby ImageWorker.CountDifferenceBetweenColors(x.color.color, y.color.color)
select x.color).First();
List<MyProject.ImageWorker.ColorMul> cmtemp = (from x in picture.Color_array
where x.color != reduceColor
select x.color).ToList();
MyProject.ImageWorker.ColorMul c3 = worker.FindColor(reduceColor.color, ref cmtemp);
if (c3 != null)
{
picture.ReduceColor(reduceColor, c3);
}
}
List<ImageWorker.ColorMul> colorsForReduce = (from x in picture.Color_array
where x.points.Count < XYSmooth
select x.color).ToList();
List<MyProject.ImageWorker.ColorMul> cmtemp2 = (from x in picture.Color_array
where x.points.Count >= XYSmooth
select x.color).ToList();
foreach (MyProject.ImageWorker.ColorMul cc in colorsForReduce)
{
MyProject.ImageWorker.ColorMul c3 = worker.FindColor(cc.color, ref cmtemp2);
if (c3 != null)
{
picture.ReduceColor(cc, c3);
}
}
DateTime ReducingColors = DateTime.Now;
ViewData["mess"] = string.Format("DictPOints:{2}FindColors: {0} ReduceColors:{1}", findColors-start, ReducingColors-findColors,h);
ViewData["imageSmooth"] = picture;
Session.Remove("imageSmooth");
Session.Add("imageSmooth", picture);
ViewData["X"] = X;
ViewData["Y"] = Y;
return View();
}
