/// <summary>
/// Release all managed resources associated with this background model.
/// </summary>
protected override void ReleaseManagedResources()
{
if (_fgMask != null)
{
_fgMask.Dispose();
}
if (_bgMask != null)
{
_bgMask.Dispose();
}
base.ReleaseManagedResources();
}
void stitch(OneSidePcb oneSidePcb)
{
double or_hl = 0.23; // lower bound for horizontal overlap ratio
double or_hu = 0.24; // upper
double or_vl = 0.065; // vertical
double or_vu = 0.08;
double dr_hu = 0.01; // upper bound for horizontal drift ratio
double dr_vu = 0.01; //
Bitmap bitmap = oneSidePcb.bitmaps.Dequeue();
Emgu.CV.Image <Bgr, Byte> currentFrame = new Emgu.CV.Image <Bgr, Byte>(bitmap);
Mat imgOld = new Mat();
CvInvoke.BitwiseAnd(currentFrame, currentFrame, imgOld);
int edge = 3;
Mat img = new Mat(imgOld, new Rectangle(new Point(edge, edge), new Size(imgOld.Width - edge * 2, imgOld.Height - edge * 2)));
//第一行
if (oneSidePcb.currentRow == 0)
{
if (oneSidePcb.currentCol == 0)
{
#region 判断s型还是z字形
if (oneSidePcb.zTrajectory) //Z形
{
oneSidePcb.trajectorySide = (int)AoiAi.side.left;
int x = Convert.ToInt32(img.Cols * (oneSidePcb.allCols - 1) * dr_hu);
int y = Convert.ToInt32(img.Rows * (oneSidePcb.allRows - 1) * dr_vu);
int dstRows = Convert.ToInt32(img.Rows * (oneSidePcb.allRows + (oneSidePcb.allRows - 1) * (dr_vu * 2 - or_vl)));
int dstCols = Convert.ToInt32(img.Cols * (oneSidePcb.allCols + (oneSidePcb.allCols - 1) * (dr_hu * 2 - or_hl)));
oneSidePcb.roi = new Rectangle(x, y, img.Cols, img.Rows);
oneSidePcb.dst = new Mat(dstRows, dstCols, img.Depth, 3); // 第一张图不要0,0 最好留一些像素
}
else // S型
{
oneSidePcb.trajectorySide = (int)AoiAi.side.right;
int dstRows = Convert.ToInt32(img.Rows * (oneSidePcb.allRows + (oneSidePcb.allRows - 1) * (dr_vu * 2 - or_vl)));
int dstCols = Convert.ToInt32(img.Cols * (oneSidePcb.allCols + (oneSidePcb.allCols - 1) * (dr_hu * 2 - or_hl)));
int x = Convert.ToInt32((dstCols - img.Cols) * (1 - dr_hu));
int y = Convert.ToInt32(img.Rows * (oneSidePcb.allRows - 1) * dr_vu);
oneSidePcb.roi = new Rectangle(x, y, img.Cols, img.Rows);
oneSidePcb.dst = new Mat(dstRows, dstCols, img.Depth, 3); // 第一张图不要0,0 最好留一些像素
}
#endregion
}
else
{
AoiAi.stitchv2(oneSidePcb.dst.Ptr, oneSidePcb.roi, img.Ptr, ref oneSidePcb.roi, oneSidePcb.trajectorySide, Convert.ToInt32(img.Cols * or_hl), Convert.ToInt32(img.Cols * or_hu), Convert.ToInt32(img.Rows * dr_vu));
}
//oneSidePcb.dst.Save(@"C:\Users\Administrator\Desktop\suomi-test-img\" + oneSidePcb.currentRow + "-" + oneSidePcb.currentCol + ".jpg");
AoiAi.copy_to(oneSidePcb.dst.Ptr, img.Ptr, oneSidePcb.roi);
//oneSidePcb.dst.Save(@"C:\Users\Administrator\Desktop\suomi-test-img\" + oneSidePcb.currentRow + "-" + oneSidePcb.currentCol + ".jpg");
img.Dispose();
currentFrame.Dispose();
bitmap.Dispose();
oneSidePcb.currentCol++;
if (oneSidePcb.currentCol >= oneSidePcb.allCols)
{
oneSidePcb.currentCol = 0;
oneSidePcb.currentRow++;
if (oneSidePcb.trajectorySide == (int)AoiAi.side.left)
{
oneSidePcb.trajectorySide = (int)AoiAi.side.right;
}
else if (oneSidePcb.trajectorySide == (int)AoiAi.side.right)
{
oneSidePcb.trajectorySide = (int)AoiAi.side.left;
}
}
//oneSidePcb.dst.Save(@"C:\Users\Administrator\Desktop\suomi-test-img\row1.jpg");
}
else // 其他行
{
if (Convert.ToBoolean(oneSidePcb.currentRow % 2)) //偶行
{
if (oneSidePcb.currentCol == 0)
{
AoiAi.stitchv2(oneSidePcb.dst.Ptr, oneSidePcb.roi, img.Ptr, ref oneSidePcb.roi, (int)AoiAi.side.up, Convert.ToInt32(img.Cols * or_vl), Convert.ToInt32(img.Cols * or_vu), Convert.ToInt32(img.Rows * dr_hu));
//oneSidePcb.roi = oneSidePcb.roi0;
}
else
{
AoiAi.stitchv2(oneSidePcb.dst.Ptr, oneSidePcb.roi, img.Ptr, ref oneSidePcb.roi, oneSidePcb.trajectorySide, Convert.ToInt32(img.Cols * or_hl), Convert.ToInt32(img.Cols * or_hu), Convert.ToInt32(img.Rows * dr_vu), (int)AoiAi.side.up, Convert.ToInt32(img.Rows * or_vl), Convert.ToInt32(img.Rows * or_vu), Convert.ToInt32(img.Cols * dr_hu));
}
}
else
{
if (oneSidePcb.currentCol == 0)
{
AoiAi.stitchv2(oneSidePcb.dst.Ptr, oneSidePcb.roi, img.Ptr, ref oneSidePcb.roi, (int)AoiAi.side.up, Convert.ToInt32(img.Cols * or_vl), Convert.ToInt32(img.Cols * or_vu), Convert.ToInt32(img.Rows * dr_hu));
//oneSidePcb.roi = oneSidePcb.roi0;
}
else
{
AoiAi.stitchv2(oneSidePcb.dst.Ptr, oneSidePcb.roi, img.Ptr, ref oneSidePcb.roi, oneSidePcb.trajectorySide, Convert.ToInt32(img.Cols * or_hl), Convert.ToInt32(img.Cols * or_hu), Convert.ToInt32(img.Rows * dr_vu), (int)AoiAi.side.up, Convert.ToInt32(img.Rows * or_vl), Convert.ToInt32(img.Rows * or_vu), Convert.ToInt32(img.Cols * dr_hu));
}
}
//oneSidePcb.dst.Save(@"C:\Users\Administrator\Desktop\suomi-test-img\" + oneSidePcb.currentRow + "-" + oneSidePcb.currentCol + ".jpg");
AoiAi.copy_to(oneSidePcb.dst.Ptr, img.Ptr, oneSidePcb.roi);
img.Dispose();
currentFrame.Dispose();
bitmap.Dispose();
oneSidePcb.currentCol++;
if (oneSidePcb.currentRow >= oneSidePcb.allRows - 1 && oneSidePcb.currentCol >= oneSidePcb.allCols)
{
sw.Stop();
TimeSpan ts = sw.Elapsed;
Console.WriteLine("DateTime costed for Shuffle function is: {0}ms", ts.TotalMilliseconds);
this.BeginInvoke(done);
if (oneSidePcb.zTrajectory)
{
oneSidePcb.dst.Save(Path.Combine(savePath, "Front.jpg"));
}
else
{
oneSidePcb.dst.Save(Path.Combine(savePath, "Back.jpg"));
}
}
else if (oneSidePcb.currentCol >= oneSidePcb.allCols)
{
oneSidePcb.currentCol = 0;
oneSidePcb.currentRow++;
if (oneSidePcb.trajectorySide == (int)AoiAi.side.left)
{
oneSidePcb.trajectorySide = (int)AoiAi.side.right;
}
else if (oneSidePcb.trajectorySide == (int)AoiAi.side.right)
{
oneSidePcb.trajectorySide = (int)AoiAi.side.left;
}
}
}
}
public void ComputeFeatures(Segment s)
{
//Add the relative size
NamedFeature f = new NamedFeature("RelativeSize");
f.values.Add(s.points.Count() / (double)(imageWidth * imageHeight));
s.features.Add(f);
// Relative centroid
PointF c = NormalizedCentroid(s);
s.features.Add(new NamedFeature("RelativeCentroid", new List <double> {
c.X, c.Y
}));
// One interior point
PointF np = RandomNormalizedInteriorPoint(s);
s.features.Add(new NamedFeature("OneInteriorPoint", new List <double> {
np.X, np.Y
}));
//Radial distance
s.features.Add(new NamedFeature("RadialDistance", new List <double> {
Math.Sqrt(c.X * c.X + c.Y * c.Y)
}));
//Normalized Discrete Compactness http://www.m-hikari.com/imf-password2009/25-28-2009/bribiescaIMF25-28-2009.pdf
//Find the segment id
Point sp = s.points.First();
int sidx = assignments[sp.X, sp.Y];
//count number of perimeter edges
int perimeter = 0;
foreach (Point p in s.points)
{
for (int i = -1; i <= 1; i++)
{
for (int j = -1; j <= 1; j++)
{
if (Math.Abs(i) == Math.Abs(j))
{
continue;
}
if (Util.InBounds(p.X + i, p.Y + j, imageWidth, imageHeight) && assignments[p.X + i, p.Y + j] != sidx)
{
perimeter++;
}
else if (!Util.InBounds(p.X + i, p.Y + j, imageWidth, imageHeight)) //edge pixels should be considered perimeter too
{
perimeter++;
}
}
}
}
int n = s.points.Count();
double CD = (4.0 * n - perimeter) / 2;
double CDmin = n - 1;
double CDmax = (4 * n - 4 * Math.Sqrt(n)) / 2;
double CDN = (CD - CDmin) / Math.Max(1, (CDmax - CDmin));
s.features.Add(new NamedFeature("NormalizedDiscreteCompactness", new List <double> {
CDN
}));
//Add elongation (width/length normalized between 0-square to 1-long http://hal.archives-ouvertes.fr/docs/00/44/60/37/PDF/ARS-Journal-SurveyPatternRecognition.pdf
PointF[] points = s.points.Select <Point, PointF>(p => new PointF(p.X, p.Y)).ToArray <PointF>();
Emgu.CV.Structure.MCvBox2D box = Emgu.CV.PointCollection.MinAreaRect(points);
PointF[] vertices = box.GetVertices();
double elongation = 1 - Math.Min(box.size.Width + 1, box.size.Height + 1) / Math.Max(box.size.Width + 1, box.size.Height + 1);
s.features.Add(new NamedFeature("Elongation", new List <double> {
elongation
}));
//Add Hu shape moments, invariant to translation, scale, and rotation (not sure what each measure refers to intuitively though, or if there is an intuitive analog)
//They may also do badly on noisy data however. See: http://hal.archives-ouvertes.fr/docs/00/44/60/37/PDF/ARS-Journal-SurveyPatternRecognition.pdf (called Invariant Moments)
Bitmap regionBitmap = new Bitmap(imageWidth, imageHeight);
Graphics g = Graphics.FromImage(regionBitmap);
g.FillRectangle(new SolidBrush(Color.Black), 0, 0, imageWidth, imageHeight);
foreach (Point p in s.points)
{
regionBitmap.SetPixel(p.X, p.Y, Color.White);
}
Emgu.CV.Image <Gray, byte> region = new Emgu.CV.Image <Gray, byte>(regionBitmap);
MCvMoments moment = region.GetMoments(true);
MCvHuMoments hu = moment.GetHuMoment();
s.features.Add(new NamedFeature("HuMoments", new List <double> {
hu.hu1, hu.hu2, hu.hu3, hu.hu4, hu.hu5, hu.hu6, hu.hu7
}));
region.Dispose();
regionBitmap.Dispose();
}
/// <summary>
/// 拼图主函数
/// </summary>
/// <param name="oneSidePcb"></param>
public static void StitchMain(OneStitchSidePcb oneSidePcb, Odin.StitchCallBack stitchCallBack)
{
bool needSave = false;
double or_hl = oneSidePcb.or_hl;
double or_hu = oneSidePcb.or_hu;
double or_vl = oneSidePcb.or_vl;
double or_vu = oneSidePcb.or_vu;
double dr_hu = oneSidePcb.dr_hu;
double dr_vu = oneSidePcb.dr_vu;
BitmapInfo bitmapInfo;
lock (oneSidePcb.bitmaps)
{
bitmapInfo = oneSidePcb.bitmaps.Dequeue();
Emgu.CV.Image <Bgr, Byte> currentFrame = new Emgu.CV.Image <Bgr, Byte>(bitmapInfo.bitmap);
Mat imgOld = new Mat();
CvInvoke.BitwiseAnd(currentFrame, currentFrame, imgOld);
int edge = 3;
Mat img = new Mat(imgOld, new Rectangle(new Point(edge, edge), new Size(imgOld.Width - edge * 2, imgOld.Height - edge * 2)));
//第一行
if (oneSidePcb.currentRow == 0)
{
if (oneSidePcb.currentCol == 0)
{
#region 判断s型还是z字形
if (oneSidePcb.zTrajectory) //Z形
{
oneSidePcb.trajectorySide = (int)side.left;
int x = Convert.ToInt32(img.Cols * (oneSidePcb.allCols - 1) * dr_hu);
int y = Convert.ToInt32(img.Rows * (oneSidePcb.allRows - 1) * dr_vu);
int dstRows = Convert.ToInt32(img.Rows * (oneSidePcb.allRows + (oneSidePcb.allRows - 1) * (dr_vu * 2 - or_vl)));
int dstCols = Convert.ToInt32(img.Cols * (oneSidePcb.allCols + (oneSidePcb.allCols - 1) * (dr_hu * 2 - or_hl)));
oneSidePcb.roi = new Rectangle(x, y, img.Cols, img.Rows);
oneSidePcb.dst = new Mat(dstRows, dstCols, img.Depth, 3); // 第一张图不要0,0 最好留一些像素
}
else // S型
{
oneSidePcb.trajectorySide = (int)side.right;
int dstRows = Convert.ToInt32(img.Rows * (oneSidePcb.allRows + (oneSidePcb.allRows - 1) * (dr_vu * 2 - or_vl)));
int dstCols = Convert.ToInt32(img.Cols * (oneSidePcb.allCols + (oneSidePcb.allCols - 1) * (dr_hu * 2 - or_hl)));
int x = Convert.ToInt32((dstCols - img.Cols) * (1 - dr_hu));
int y = Convert.ToInt32(img.Rows * (oneSidePcb.allRows - 1) * dr_vu);
oneSidePcb.roi = new Rectangle(x, y, img.Cols, img.Rows);
oneSidePcb.dst = new Mat(dstRows, dstCols, img.Depth, 3); // 第一张图不要0,0 最好留一些像素
}
#endregion
}
else
{
stitchv2(oneSidePcb.dst.Ptr, oneSidePcb.roi, img.Ptr, ref oneSidePcb.roi, oneSidePcb.trajectorySide, Convert.ToInt32(img.Cols * or_hl), Convert.ToInt32(img.Cols * or_hu), Convert.ToInt32(img.Rows * dr_vu));
}
//oneSidePcb.dst.Save(@"C:\Users\Administrator\Desktop\suomi-test-img\" + oneSidePcb.currentRow + "-" + oneSidePcb.currentCol + ".jpg");
copy_to(oneSidePcb.dst.Ptr, img.Ptr, oneSidePcb.roi);
//oneSidePcb.dst.Save(@"C:\Users\Administrator\Desktop\suomi-test-img\" + oneSidePcb.currentRow + "-" + oneSidePcb.currentCol + ".jpg");
oneSidePcb.currentCol++;
if (oneSidePcb.currentCol >= oneSidePcb.allCols)
{
oneSidePcb.currentCol = 0;
oneSidePcb.currentRow++;
if (oneSidePcb.trajectorySide == (int)side.left)
{
oneSidePcb.trajectorySide = (int)side.right;
}
else if (oneSidePcb.trajectorySide == (int)side.right)
{
oneSidePcb.trajectorySide = (int)side.left;
}
}
//oneSidePcb.dst.Save(@"C:\Users\Administrator\Desktop\suomi-test-img\row1.jpg");
}
else // 其他行
{
if (Convert.ToBoolean(oneSidePcb.currentRow % 2)) //偶行
{
if (oneSidePcb.currentCol == 0)
{
stitchv2(oneSidePcb.dst.Ptr, oneSidePcb.roi, img.Ptr, ref oneSidePcb.roi, (int)side.up, Convert.ToInt32(img.Cols * or_vl), Convert.ToInt32(img.Cols * or_vu), Convert.ToInt32(img.Rows * dr_hu));
//oneSidePcb.roi = oneSidePcb.roi0;
}
else
{
stitchv2(oneSidePcb.dst.Ptr, oneSidePcb.roi, img.Ptr, ref oneSidePcb.roi, oneSidePcb.trajectorySide, Convert.ToInt32(img.Cols * or_hl), Convert.ToInt32(img.Cols * or_hu), Convert.ToInt32(img.Rows * dr_vu), (int)side.up, Convert.ToInt32(img.Rows * or_vl), Convert.ToInt32(img.Rows * or_vu), Convert.ToInt32(img.Cols * dr_hu));
}
}
else
{
if (oneSidePcb.currentCol == 0)
{
stitchv2(oneSidePcb.dst.Ptr, oneSidePcb.roi, img.Ptr, ref oneSidePcb.roi, (int)side.up, Convert.ToInt32(img.Cols * or_vl), Convert.ToInt32(img.Cols * or_vu), Convert.ToInt32(img.Rows * dr_hu));
//oneSidePcb.roi = oneSidePcb.roi0;
}
else
{
stitchv2(oneSidePcb.dst.Ptr, oneSidePcb.roi, img.Ptr, ref oneSidePcb.roi, oneSidePcb.trajectorySide, Convert.ToInt32(img.Cols * or_hl), Convert.ToInt32(img.Cols * or_hu), Convert.ToInt32(img.Rows * dr_vu), (int)side.up, Convert.ToInt32(img.Rows * or_vl), Convert.ToInt32(img.Rows * or_vu), Convert.ToInt32(img.Cols * dr_hu));
}
}
//oneSidePcb.dst.Save(@"C:\Users\Administrator\Desktop\suomi-test-img\" + oneSidePcb.currentRow + "-" + oneSidePcb.currentCol + ".jpg");
copy_to(oneSidePcb.dst.Ptr, img.Ptr, oneSidePcb.roi);
//oneSidePcb.dst.Save(@"C:\Users\Administrator\Desktop\suomi-test-img\" + oneSidePcb.currentRow + "-" + oneSidePcb.currentCol + ".jpg");
oneSidePcb.currentCol++;
if (oneSidePcb.currentRow >= oneSidePcb.allRows - 1 && oneSidePcb.currentCol >= oneSidePcb.allCols)
{
needSave = true;
}
else if (oneSidePcb.currentCol >= oneSidePcb.allCols)
{
oneSidePcb.currentCol = 0;
oneSidePcb.currentRow++;
if (oneSidePcb.trajectorySide == (int)side.left)
{
oneSidePcb.trajectorySide = (int)side.right;
}
else if (oneSidePcb.trajectorySide == (int)side.right)
{
oneSidePcb.trajectorySide = (int)side.left;
}
}
}
#region 实时更新采集框
stitchCallBack(false, oneSidePcb, bitmapInfo, new RectangleF((float)(oneSidePcb.roi.Location.X * 0.25),
(float)(oneSidePcb.roi.Location.Y * 0.25),
(float)(oneSidePcb.roi.Size.Width * 0.25),
(float)(oneSidePcb.roi.Size.Height * 0.25)));
#endregion
#region 释放资源
img.Dispose();
currentFrame.Dispose();
//bitmap.Dispose();
#endregion
if (needSave) // 加这里主要是为了优化workingForm.imgBoxWorking最后一个框的显示问题
{
stitchCallBack(true, oneSidePcb, bitmapInfo, new RectangleF());
Mat smallmat = new Mat();
CvInvoke.Resize(oneSidePcb.dst, smallmat, new Size(Convert.ToInt32(oneSidePcb.dst.Cols * oneSidePcb.scale), Convert.ToInt32(oneSidePcb.dst.Rows * oneSidePcb.scale)));
if (oneSidePcb.zTrajectory)
{
string saveFile = Path.Combine(oneSidePcb.savePath, "front.jpg");
smallmat.Save(saveFile);
//oneSidePcb.dst.Save(saveFile + "big.jpg");
Ftp.UpLoadFile(saveFile, Ftp.ftpPath + oneSidePcb.pcbId + "/front.jpg");
}
else
{
string saveFile = Path.Combine(oneSidePcb.savePath, "back.jpg");
smallmat.Save(saveFile);
//oneSidePcb.dst.Save(saveFile + "big.jpg");
Ftp.UpLoadFile(saveFile, Ftp.ftpPath + oneSidePcb.pcbId + "/back.jpg");
}
smallmat.Dispose();
oneSidePcb.dst.Dispose();
}
}
}
public void ComputeFeatures(Segment s)
{
//Add the relative size
NamedFeature f = new NamedFeature("RelativeSize");
f.values.Add(s.points.Count() / (double)(imageWidth * imageHeight));
s.features.Add(f);
// Relative centroid
PointF c = NormalizedCentroid(s);
s.features.Add(new NamedFeature("RelativeCentroid", new List<double>{c.X, c.Y}));
// One interior point
PointF np = RandomNormalizedInteriorPoint(s);
s.features.Add(new NamedFeature("OneInteriorPoint", new List<double> { np.X, np.Y }));
//Radial distance
s.features.Add(new NamedFeature("RadialDistance", new List<double>{Math.Sqrt(c.X*c.X+c.Y*c.Y)}));
//Normalized Discrete Compactness http://www.m-hikari.com/imf-password2009/25-28-2009/bribiescaIMF25-28-2009.pdf
//Find the segment id
Point sp = s.points.First();
int sidx = assignments[sp.X, sp.Y];
//count number of perimeter edges
int perimeter = 0;
foreach (Point p in s.points)
{
for (int i = -1; i <= 1; i++)
{
for (int j = -1; j <= 1; j++)
{
if (Math.Abs(i) == Math.Abs(j))
continue;
if (Util.InBounds(p.X + i, p.Y + j, imageWidth, imageHeight) && assignments[p.X + i, p.Y + j] != sidx)
perimeter++;
else if (!Util.InBounds(p.X + i, p.Y + j, imageWidth, imageHeight)) //edge pixels should be considered perimeter too
perimeter++;
}
}
}
int n = s.points.Count();
double CD = (4.0 * n - perimeter) / 2;
double CDmin = n - 1;
double CDmax = (4 * n - 4 * Math.Sqrt(n)) / 2;
double CDN = (CD - CDmin) / Math.Max(1,(CDmax - CDmin));
s.features.Add(new NamedFeature("NormalizedDiscreteCompactness", new List<double> { CDN }));
//Add elongation (width/length normalized between 0-square to 1-long http://hal.archives-ouvertes.fr/docs/00/44/60/37/PDF/ARS-Journal-SurveyPatternRecognition.pdf
PointF[] points = s.points.Select<Point, PointF>(p => new PointF(p.X, p.Y)).ToArray<PointF>();
Emgu.CV.Structure.MCvBox2D box = Emgu.CV.PointCollection.MinAreaRect(points);
PointF[] vertices = box.GetVertices();
double elongation = 1 - Math.Min(box.size.Width + 1, box.size.Height + 1) / Math.Max(box.size.Width + 1, box.size.Height + 1);
s.features.Add(new NamedFeature("Elongation", new List<double>{elongation}));
//Add Hu shape moments, invariant to translation, scale, and rotation (not sure what each measure refers to intuitively though, or if there is an intuitive analog)
//They may also do badly on noisy data however. See: http://hal.archives-ouvertes.fr/docs/00/44/60/37/PDF/ARS-Journal-SurveyPatternRecognition.pdf (called Invariant Moments)
Bitmap regionBitmap = new Bitmap(imageWidth, imageHeight);
Graphics g = Graphics.FromImage(regionBitmap);
g.FillRectangle(new SolidBrush(Color.Black), 0, 0, imageWidth, imageHeight);
foreach (Point p in s.points)
{
regionBitmap.SetPixel(p.X, p.Y, Color.White);
}
Emgu.CV.Image<Gray, byte> region = new Emgu.CV.Image<Gray, byte>(regionBitmap);
MCvMoments moment = region.GetMoments(true);
MCvHuMoments hu = moment.GetHuMoment();
s.features.Add(new NamedFeature("HuMoments", new List<double> {hu.hu1, hu.hu2, hu.hu3,hu.hu4,hu.hu5, hu.hu6, hu.hu7 }));
region.Dispose();
regionBitmap.Dispose();
}
