private void timer_process_Tick(object sender, EventArgs e)
{
timer_process.Enabled = false;
Bitmap bitmap = new Bitmap(Screen.PrimaryScreen.Bounds.Width, Screen.PrimaryScreen.Bounds.Height);
Graphics graphics = Graphics.FromImage(bitmap as Image);
graphics.CopyFromScreen(0, 0, 0, 0, bitmap.Size);
bitmap.Save("4.png");
long Ticks = DateTime.Now.Millisecond;
Mat mat = new Mat("4.png", Emgu.CV.CvEnum.LoadImageType.Color);
Image <Bgr, Byte> imgBgr = mat.ToImage <Bgr, Byte>();
Image <Gray, Byte> imgGray = mat.ToImage <Gray, Byte>();
int nWid = imgGray.Width; int nHei = imgGray.Height;
byte[,,] pData = imgGray.Data;
for (int y = 0; y < nHei; y++)
{
for (int x = 0; x < nWid; x++)
{
byte c = pData[y, x, 0];
if (c > 5)
{
pData[y, x, 0] = 0;
}
else
{
pData[y, x, 0] = 255;
}
}
}
CvBlobs blobs = new CvBlobs();
_blobDetector.Detect(imgGray, blobs);
blobs.FilterByArea(100, int.MaxValue);
//_tracker.Process(smoothedFrame, forgroundMask);
if (blobs.Count < 1)
{
timer_process.Enabled = true;
return;
}
//-------------------------------
Rectangle rc = Rectangle.Empty;
foreach (var pair in blobs)
{
CvBlob b = pair.Value;
rc = b.BoundingBox;
//CvInvoke.Rectangle(imgBgr, b.BoundingBox, new MCvScalar(255.0, 0, 0), 2);
break;
}
// -------Detect Blue Region ---- /
imgGray = imgBgr.Convert <Gray, Byte>();
pData = imgGray.Data;
for (int y = 0; y < nHei; y++)
{
for (int x = 0; x < nWid; x++)
{
if (!rc.Contains(x, y))
{
pData[y, x, 0] = 0;
continue;
}
byte c = pData[y, x, 0];
if (c >= 100 && c <= 120)
{
pData[y, x, 0] = 255;
}
else
{
pData[y, x, 0] = 0;
}
}
}
blobs.Clear();
_blobDetector.Detect(imgGray, blobs);
blobs.FilterByArea(100, int.MaxValue);
//_tracker.Process(smoothedFrame, forgroundMask);
if (blobs.Count < 1)
{
timer_process.Enabled = true;
return;
}
//-------------------------------
rc = Rectangle.Empty;
int nSizeMax = 0;
foreach (var pair in blobs)
{
CvBlob b = pair.Value;
if (b.BoundingBox.Width * b.BoundingBox.Height > nSizeMax)
{
rc = b.BoundingBox;
nSizeMax = rc.Width * rc.Height;
}
//break;
}
CvInvoke.Rectangle(imgBgr, rc, new MCvScalar(255, 255, 0), 2);
Global.g_rcROI = rc;
Global.DEF_MAIN_BOARD_X = 238;
Global.DEF_MAIN_BOARD_Y = 42;
Global.DEF_MAIN_BOARD_W = 570;
Global.DEF_MAIN_BOARD_H = 570;
int nGameBoardX = Global.DEF_MAIN_BOARD_X + rc.X;
int nGameBoardY = Global.DEF_MAIN_BOARD_Y + rc.Y;
Global.GetRatioCalcedValues(rc.Width, rc.Height, ref nGameBoardX, ref nGameBoardY);
Global.GetRatioCalcedValues(rc.Width, rc.Height, ref Global.DEF_MAIN_BOARD_W, ref Global.DEF_MAIN_BOARD_H);
CvInvoke.Rectangle(imgBgr, new Rectangle(nGameBoardX, nGameBoardY, Global.DEF_MAIN_BOARD_W, Global.DEF_MAIN_BOARD_H), new MCvScalar(255, 255, 0), 2);
Global.DEF_MARKS_X = 15;
Global.DEF_MARKS_Y = 204;
Global.DEF_MARKS_W = 189;
Global.DEF_MARKS_H = 69;
int nMarksX = Global.DEF_MARKS_X + rc.X;
int nMarksY = Global.DEF_MARKS_Y + rc.Y;
Global.GetRatioCalcedValues(rc.Width, rc.Height, ref nMarksX, ref nMarksY);
Global.GetRatioCalcedValues(rc.Width, rc.Height, ref Global.DEF_MARKS_W, ref Global.DEF_MARKS_H);
CvInvoke.Rectangle(imgBgr, new Rectangle(nMarksX, nMarksY, Global.DEF_MARKS_W, Global.DEF_MARKS_H), new MCvScalar(255, 255, 0), 2);
int nStepX = Global.DEF_MAIN_BOARD_W / 8;
int nStepY = Global.DEF_MAIN_BOARD_H / 8;
var rois = new List <Rectangle>(); // List of rois
var imageparts = new List <Image <Bgr, byte> >(); // List of extracted image parts
for (int i = 0; i < 8; i++)
{
for (int j = 0; j < 8; j++)
{
Rectangle roi = new Rectangle(nGameBoardX + j * nStepX, nGameBoardY + i * nStepY, Global.DEF_ITEM_W, Global.DEF_ITEM_H);
rois.Add(roi);
imgBgr.ROI = roi;
imageparts.Add(imgBgr.Copy());
}
}
imgBgr.ROI = Rectangle.Empty;
m_LstCharacter.Clear();
bool bCanProcess = true;
int k = 0, nRow = 0, nCol = 0;
foreach (Image <Bgr, Byte> img in imageparts)
{
int nCharac = (int)ImageMatcher.DetermineCharacter(img);
m_LstCharacter.Add(nCharac);
MovementDecision.g_AllocCharacters[nRow, nCol] = nCharac;
nCol++;
if (nCol >= 8)
{
nRow++; nCol = 0;
}
//if (nCharac != 0)
CvInvoke.Rectangle(imgBgr, rois[k], new MCvScalar(255, 255, 0), 2);
//CvInvoke.Rectangle(imgBgr, rois[k], cols[nCharac - 1], 2);
if (nCharac == 0)
{
bCanProcess = false;
}
k++;
}
string szLine = "";
lstBox.Items.Clear();
for (int i = 0; i < 8; i++)
{
szLine = "";
for (int j = 0; j < 8; j++)
{
szLine += "" + MovementDecision.g_AllocCharacters[i, j] + " ";
}
lstBox.Items.Add(szLine);
}
//imgBgr.Save("processed.png");
picScr.Image = imgBgr.Bitmap;
if (!bCanProcess)
{
timer_process.Enabled = true;
return;
}
MovementDecision.Process();
long Ticks2 = DateTime.Now.Millisecond;
lbProcessTime.Text = "" + (Ticks2 - Ticks);
timer_process.Enabled = true;
}
private bool GetAllocatedCharacters(Image <Bgr, Byte> imgBgr, int nGameBoardX, int nGameBoardY)
{
int nStepX = Global.DEF_MAIN_BOARD_W / 8; int nStepY = Global.DEF_MAIN_BOARD_H / 8;
var rois = new List <Rectangle>(); // List of rois
var imageparts = new List <Image <Bgr, byte> >(); // List of extracted image parts
for (int i = 0; i < 8; i++)
{
for (int j = 0; j < 8; j++)
{
Rectangle roi = new Rectangle(nGameBoardX + j * nStepX, nGameBoardY + i * nStepY, Global.DEF_ITEM_W, Global.DEF_ITEM_H);
rois.Add(roi);
imgBgr.ROI = roi;
imageparts.Add(imgBgr.Copy());
}
}
imgBgr.ROI = Rectangle.Empty;
m_LstCharacter.Clear();
bool bCanProcess = true;
int k = 0, nRow = 0, nCol = 0;
foreach (Image <Bgr, Byte> img in imageparts)
{
int nCharac = (int)ImageMatcher.DetermineCharacter(img);
m_LstCharacter.Add(nCharac);
MovementDecision.g_AllocCharacters[nRow, nCol] = nCharac;
nCol++;
if (nCol >= 8)
{
nRow++; nCol = 0;
}
//if (nCharac != 0)
//CvInvoke.Rectangle(imgBgr, rois[k], new MCvScalar(255, 255, 0), 2);
//CvInvoke.Rectangle(imgBgr, rois[k], cols[nCharac - 1], 2);
if (nCharac == 0)
{
bCanProcess = false;
}
k++;
}
string szLine = "";
lstBox.Items.Clear();
for (int i = 0; i < 8; i++)
{
szLine = "";
for (int j = 0; j < 8; j++)
{
szLine += "" + MovementDecision.g_AllocCharacters[i, j] + " ";
}
lstBox.Items.Add(szLine);
}
return(bCanProcess);
}