public ConvertToBitmap()
{
Bitmap bitmap = null;
// do cvThreshold
using (IplImage src = new IplImage(FilePath.Image.Lenna, LoadMode.GrayScale))
using (IplImage dst = new IplImage(src.Size, BitDepth.U8, 1))
{
src.Smooth(src, SmoothType.Gaussian, 5);
src.Threshold(dst, 0, 255, ThresholdType.Otsu);
// IplImage -> Bitmap
bitmap = dst.ToBitmap();
//bitmap = BitmapConverter.ToBitmap(dst);
}
// visualize using WindowsForm
Form form = new Form
{
Text = "from IplImage to Bitmap",
ClientSize = bitmap.Size,
};
PictureBox pictureBox = new PictureBox
{
Dock = DockStyle.Fill,
SizeMode = PictureBoxSizeMode.StretchImage,
Image = bitmap
};
form.Controls.Add(pictureBox);
form.ShowDialog();
form.Dispose();
bitmap.Dispose();
}
private void mainCameraLoop()
{
while ((mainCameraImage = Cv.QueryFrame(mainCameraCapture)) != null)
{
pbxMainCamera.Image = mainCameraImage.ToBitmap();
Application.DoEvents();
}
}
private void showImageUsingPictureBox()
{
Bitmap bitmap;
using (var iplImage = new IplImage(@"..\..\Images\Penguin.png", LoadMode.Color))
{
bitmap = iplImage.ToBitmap(); // BitmapConverter.ToBitmap()
}
var pictureBox = new PictureBox
{
Image = bitmap,
ClientSize = bitmap.Size
};
//How to redraw:
//iplImage.ToBitmap(dst: (Bitmap)pictureBox.Image);
flowLayoutPanel1.Controls.Add(pictureBox);
}
public ConvertToBitmap()
{
Bitmap bitmap = null;
// OpenCVによる画像処理 (Threshold)
using (IplImage src = new IplImage(Const.ImageLenna, LoadMode.GrayScale))
using (IplImage dst = new IplImage(src.Size, BitDepth.U8, 1))
{
src.Smooth(src, SmoothType.Gaussian, 5);
src.Threshold(dst, 0, 255, ThresholdType.Otsu);
// IplImage -> Bitmap
bitmap = dst.ToBitmap();
//bitmap = BitmapConverter.ToBitmap(dst);
}
// WindowsFormに表示してみる
Form form = new Form
{
Text = "from IplImage to Bitmap",
ClientSize = bitmap.Size,
};
PictureBox pictureBox = new PictureBox
{
Dock = DockStyle.Fill,
SizeMode = PictureBoxSizeMode.StretchImage,
Image = bitmap
};
/*
Imageプロパティに設定するのはもしかするとちょっと微妙、できればこのように
pictureBox.Paint += delegate(object sender, PaintEventArgs e) {
e.Graphics.DrawImage(bitmap, new Rectangle(new Point(0, 0), form.ClientSize));
};
*/
form.Controls.Add(pictureBox);
form.ShowDialog();
form.Dispose();
bitmap.Dispose();
}
/// <summary>
/// Обработка изображения выполняющаяся в отдельном потоке
/// </summary>
private void routine()
{
IplImage cam = new IplImage(Camera.FrameSize, BitDepth.U8, 3);
CvPoint[] mostLengthHole = new CvPoint[0];
RoutineAction innerAction;
bool innerIsRunOnce;
while(isRunning)
{
// Копируем новое значение состояния
innerAction = action;
innerIsRunOnce = isRunOnce;
// Определяем что будем делать в следующем цикле
if (innerIsRunOnce) action = RoutineAction.Pause;
// Если поток на паузе, то ничего не делаем
if (innerAction == RoutineAction.Pause) continue;
if (isRunning && BeforeProcessingEvent != null) BeforeProcessingEvent();
// Захватываем изображение с камеры
Camera.GetIplImage(ref cam);
if (innerAction == RoutineAction.FindContour || innerAction == RoutineAction.Measure)
{
mostLengthHole = Finder.FindMostLengthHole(cam);
}
if (innerAction == RoutineAction.DrawCorners || innerAction == RoutineAction.Calibrate)
{
Calibrator.SetImage(cam);
}
switch (innerAction)
{
case RoutineAction.GetImage:
{
if (isRunning && GetImageEvent != null) GetImageEvent(cam.ToBitmap());
break;
}
case RoutineAction.DrawCorners:
{
Calibrator.FindCorners();
if (isRunning && DrawCornersEvent != null) DrawCornersEvent(cam.ToBitmap());
break;
}
case RoutineAction.Calibrate:
{
bool result = Calibrator.TryToCalibrate(out Transformer);
if (isRunning && CalibrateEvent != null) CalibrateEvent(result);
break;
}
case RoutineAction.FindContour:
{
if (mostLengthHole.Length > 0) cam.DrawPolyLine(new CvPoint[][] { mostLengthHole }, true, Cv.RGB(0, 255, 0), 2);
if (isRunning && FindContoursEvent != null) FindContoursEvent(cam.ToBitmap());
break;
}
case RoutineAction.Measure:
{
if (mostLengthHole.Length > 0)
{
CvPoint2D32f[] realPoints = Transformer.GetRealPoints(mostLengthHole);
CvCircleSegment realCircle = CircleApproximator.Approximate(realPoints);
CvCircleSegment imageCircle = CircleApproximator.Approximate(mostLengthHole);
// Вносим поправки
float ratio = imageCircle.Radius / realCircle.Radius;
realCircle.Radius = realCircle.Radius * CorrectionMultiplier + CorrectionOffset;
imageCircle.Radius = imageCircle.Radius * CorrectionMultiplier + CorrectionOffset * ratio;
int circleRadius = (int)Math.Round(imageCircle.Radius);
CvPoint circleCenter = new CvPoint
(
(int)Math.Round(imageCircle.Center.X),
(int)Math.Round(imageCircle.Center.Y)
);
// Обводим внутреннюю границу кольца
if (circleRadius > 0) cam.DrawCircle(circleCenter, circleRadius, Cv.RGB(0, 0, 255), 2);
// Отмечаем откалиброванную зону
cam.DrawPolyLine(new CvPoint[][] { Calibrator.CalibratedZone }, true, Cv.RGB(255, 255, 0), 2);
if (isRunning && MeasureEvent != null) MeasureEvent(cam.ToBitmap(), realCircle.Radius);
}
break;
}
}
}
Camera.Close();
}
private int RecognizeImage(IplImage detected)
{
int id = -1;
ImageData bestest = null;
using (System.Drawing.Bitmap detected_Bitmap = detected.ToBitmap())
{
ImageData inputImgData = PictureSOM.SOMHelper.GetImageData(detected_Bitmap);
Neuron neuronFired = _som.Recognize(inputImgData.inputVector);
float lowestDistance = float.MaxValue;
foreach (ImageData imgData in neuronFired.ImageDataList)
{
//float dist = SOMHelper.Calculate_Distance(imgData.inputVector.weights, inputVec.weights);
float dist = SOMHelper.Calculate_Distance(imgData.inputVector.weights, inputImgData.inputVector.weights);
if (dist < lowestDistance)
{
lowestDistance = dist;
bestest = imgData;
}
}
if (bestest != null && (100-lowestDistance) > 50)
{
id = bestest.MapTo3DModelID;
// recharge
stopwatch_model.Restart();
// Show the confidence level (Work only if the Taninoto similarity metric)
this.progressBar_confidence.Value = 100-lowestDistance;
this.label_tanimoto.Content = 100-lowestDistance;
BitmapImage recognized = new BitmapImage(new Uri(bestest.m_fullName));
if (recognized != null)
{
// Show the image that is recognized by the SOM
this.recognizedImage.Source = recognized;
}
}
_somVisual.HighLightCell(neuronFired.X, neuronFired.Y);
}
return id;
}
public CaptureByVideoInputSharp()
{
const int DeviceID = 0;
const int CaptureFps = 30;
const int CaptureWidth = 640;
const int CaptureHeight = 480;
using (VideoInput vi = new VideoInput())
{
vi.SetIdealFramerate(DeviceID, CaptureFps);
vi.SetupDevice(DeviceID, CaptureWidth, CaptureHeight);
int width = vi.GetWidth(DeviceID);
int height = vi.GetHeight(DeviceID);
using (IplImage img = new IplImage(width, height, BitDepth.U8, 3))
using (Bitmap bitmap = new Bitmap(width, height, PixelFormat.Format24bppRgb))
using (Form form = new Form() { Text = "VideoInputSharp sample", ClientSize = new Size(width, height) })
using (PictureBox pb = new PictureBox() { Dock = DockStyle.Fill, Image = bitmap })
{
if (vi.IsFrameNew(DeviceID))
{
vi.GetPixels(DeviceID, img.ImageData, false, true);
}
form.Controls.Add(pb);
form.Show();
while (form.Created)
{
if (vi.IsFrameNew(DeviceID))
{
vi.GetPixels(DeviceID, img.ImageData, false, true);
}
img.ToBitmap(bitmap);
pb.Refresh();
Application.DoEvents();
}
vi.StopDevice(DeviceID);
}
}
/*
const int DeviceID1 = 0;
const int DeviceID2 = 1;
const int DeviceID3 = 2;
const int CaptureFps = 30;
const int CaptureWidth = 640;
const int CaptureHeight = 480;
// lists all capture devices
//ListDevices();
using (VideoInput vi = new VideoInput())
{
// initializes settings
vi.SetIdealFramerate(DeviceID1, CaptureFps);
vi.SetupDevice(DeviceID1, CaptureWidth, CaptureHeight);
vi.SetupDevice(DeviceID2);
vi.SetupDevice(DeviceID3);
using (IplImage img1 = new IplImage(vi.GetWidth(DeviceID1), vi.GetHeight(DeviceID1), BitDepth.U8, 3))
using (IplImage img2 = new IplImage(vi.GetWidth(DeviceID2), vi.GetHeight(DeviceID2), BitDepth.U8, 3))
using (IplImage img3 = new IplImage(vi.GetWidth(DeviceID3), vi.GetHeight(DeviceID3), BitDepth.U8, 3))
using (CvWindow window1 = new CvWindow("Camera 1"))
using (CvWindow window2 = new CvWindow("Camera 2"))
using (CvWindow window3 = new CvWindow("Camera 3"))
{
// to get the data from the device first check if the data is new
if (vi.IsFrameNew(DeviceID1))
{
vi.GetPixels(DeviceID1, img1.ImageData, false, true);
}
if (vi.IsFrameNew(DeviceID2))
{
vi.GetPixels(DeviceID2, img2.ImageData, false, true);
}
if (vi.IsFrameNew(DeviceID3))
{
vi.GetPixels(DeviceID3, img3.ImageData, false, true);
}
// captures until the window is closed
while (true)
{
if (vi.IsFrameNew(DeviceID1))
{
vi.GetPixels(DeviceID1, img1.ImageData, false, true);
}
if (vi.IsFrameNew(DeviceID2))
{
vi.GetPixels(DeviceID2, img2.ImageData, false, true);
}
if (vi.IsFrameNew(DeviceID3))
{
vi.GetPixels(DeviceID3, img3.ImageData, false, true);
}
window1.Image = img1;
window2.Image = img2;
window3.Image = img3;
if (Cv.WaitKey(1) > 0)
break;
}
// stops capturing
vi.StopDevice(DeviceID1);
vi.StopDevice(DeviceID2);
vi.StopDevice(DeviceID3);
}
}
//*/
}
public static Bitmap BitmapFromIplImage(IplImage img)
{
return img.ToBitmap();
}
private void prev_Click(object sender, EventArgs e)
{
if (uCurrentFrameNo > 1)
{
uCurrentFrameNo--;
frameText.Text = uCurrentFrameNo.ToString();
cap.SetCaptureProperty(CaptureProperty.PosFrames, (Double)uCurrentFrameNo);
img = cap.QueryFrame();
ekran.Image = img.ToBitmap();
}
else
{
MessageBox.Show("Video başı!");
}
}
private void timer1_Tick(object sender, EventArgs e)
{
// キャプチャの開始. Capture starts.
IplImage ipl1 = capture.QueryFrame();
IplImage ipl2 = new IplImage(ipl1.Size, BitDepth.U8, 1);
IplImage ipl3 = ipl1.Clone();
//IplImage ipl2 = capture.QueryFrame();
//Cv.CvtColor(ipl1, ipl1, ColorConversion.BgrToHsv);
//Mat mat = new Mat(ipl1, true);
// 取得したカメラ画像の高さと幅を取得し、labelに表示. Height and width of camera are shown in label.
labelWidth.Text = capture.FrameWidth.ToString();
labelHeight.Text = capture.FrameHeight.ToString();
if (ipl1 != null)
{
// pictureBoxに取得した画像を表示. Show the captured image.
pictureBox1.Image = ipl1.ToBitmap();
// メモリリークが発生するらしいので
// プログラムが動的に確保したメモリ領域のうち、
// 不要になった領域を定期的に自動解放する
if (GC.GetTotalMemory(false) > 600000)
{
GC.Collect();
}
/*
// Image processing should be written from here.
// Extract red color
for (int y = 0; y < ipl1.Height; y++)
{
for (int x = 0; x < ipl1.Width; x++)
{
CvColor c = ipl1[y, x];
// Red color extraction
// If the pixel is red-like, the image is white, else black.
if (c.R > 80 && c.B < 70 && c.G < 70)
{
ipl1[y, x] = new CvColor()
{
B = 255,
G = 255,
R = 255,
};
}
else
{
ipl1[y, x] = new CvColor()
{
// Red color extraction
B = 0,
G = 0,
R = 0,
};
}
}
}
*/
// 追加した記述
Cv.CvtColor(ipl1, ipl2, ColorConversion.BgrToGray);
Cv.Smooth(ipl2, ipl2, SmoothType.Gaussian, 9);
using (CvMemStorage storage = new CvMemStorage())
{
CvSeq<CvCircleSegment> seq = ipl2.HoughCircles(storage, HoughCirclesMethod.Gradient, 1, 100, 150, 55, 0, 0);
foreach (CvCircleSegment item in seq)
{
ipl3.Circle(item.Center, (int)item.Radius, CvColor.Red, 3);
ipl3.Circle(item.Center, 1, CvColor.Red, 3);
labelCenter.Text = item.Center.ToString();
}
}
//Cv.Laplace(ipl1, ipl2, ApertureSize.Size3);
// Show the image to picturebox2.
pictureBox2.Image = ipl2.ToBitmap();
pictureBox3.Image = ipl3.ToBitmap();
}
else
{
timer1.Stop();
}
}
unsafe void SearchFace()
{
while (true)
{
Frame[] frames = null;
lock (locker)
{
if (frameQueue.Count > 0)
{
frames = frameQueue.Dequeue();
}
}
if (frames != null)
{
for (int i = 0; i < frames.Length; ++i)
{
Debug.WriteLine("addin frame");
Frame frame = frames[i];
NativeMethods.AddInFrame(ref frame);
IplImage ipl = new IplImage(frame.image);
Bitmap bmp = BitmapConverter.ToBitmap(ipl);
ipl.IsEnabledDispose = false;
this.pictureFiltered.Image = bmp;
}
IntPtr target = IntPtr.Zero;
int count = NativeMethods.SearchFaces(ref target);
Target* pTarget = (Target*)target;
for (int i = 0; i < count; i++)
{
Target face = pTarget[i];
for (int j = 0; j < face.FaceCount; ++j)
{
IntPtr* f = ((IntPtr*)(face.FaceData)) + j;
IplImage ipl = new IplImage(*f);
ipl.IsEnabledDispose = false;
Bitmap faceBmp = ipl.ToBitmap();
pictureFace.Image = faceBmp;
}
}
NativeMethods.ReleaseMem();
Array.ForEach(frames, f => Cv.Release(ref f.image));
}
else
{
Debug.WriteLine("zzzzzzzzzzzzz.....");
go.WaitOne();
}
}
}
private void button1_Click_2(object sender, EventArgs e)
{
string[] files = Directory.GetFiles(@"D:\pictures in hall");
foreach (string file in files)
{
string ext = Path.GetExtension(file);
if (ext != ".jpg") continue;
Bitmap img1 = (Bitmap)Bitmap.FromFile(file);
IplImage ipl = BitmapConverter.ToIplImage(img1);
IplImage ipl1 = new IplImage(ipl.CvPtr);
Bitmap bmp = ipl1.ToBitmap();
this.pictureFace.Image = bmp;
ipl1.SaveImage(@"d:\iplimg.jpg");
return;
// byte[] data = File.ReadAllBytes(file);
// Frame f = new Frame();
// f.data = IntPtr.Zero;// Marshal.AllocCoTaskMem(data.Length);
// //Marshal.Copy(data, 0, f.data, data.Length);
// f.dataLength = 0;// data.Length;
// f.image = IntPtr.Zero;
// f.timeStamp = 0;
// f.searchRect = IntPtr.Zero;
// f.fileName = Marshal.StringToCoTaskMemAnsi(file);
//
// bool group = NativeMethods.PreProcessFrame(ref f);
}
}
private void right_camera_roop()
{
while ((right_camera_image = Cv.QueryFrame(right_camera_capture)) != null)
{
if (warai_flg) pictureBox2.Image = (HmfCameraAssist.FaceDe(right_camera_image)).ToBitmap();
else pictureBox2.Image = right_camera_image.ToBitmap();
System.Threading.Thread.Sleep(30);
Application.DoEvents();
}
}
private void frameText_KeyUp(object sender, KeyEventArgs e)
{
if (e.KeyCode == Keys.Enter)
{
UInt16 enteredFrame = (UInt16)Convert.ToInt16(frameText.Text);
if ((enteredFrame >= 1) && (enteredFrame <= uLastFrame))
{
uCurrentFrameNo = (UInt16)Convert.ToInt16(frameText.Text);
cap.SetCaptureProperty(CaptureProperty.PosFrames, (Double)uCurrentFrameNo);
img = cap.QueryFrame();
ekran.Image = img.ToBitmap();
}
else
{
frameText.Text = uCurrentFrameNo.ToString();
MessageBox.Show("Geçersiz Frame No");
}
}
}
public System.Drawing.Bitmap FaceDetect(IplImage src)
{
// CvHaarClassifierCascade, cvHaarDetectObjects
// 얼굴을 검출하기 위해서 Haar 분류기의 캐스케이드를 이용한다
CvColor[] colors = new CvColor[]{
new CvColor(0,0,255),
new CvColor(0,128,255),
new CvColor(0,255,255),
new CvColor(0,255,0),
new CvColor(255,128,0),
new CvColor(255,255,0),
new CvColor(255,0,0),
new CvColor(255,0,255),
};
const double scale = 1.04;
const double scaleFactor = 1.139;
const int minNeighbors = 1;
using (IplImage img = src.Clone())
using (IplImage smallImg = new IplImage(new CvSize(Cv.Round(img.Width / scale), Cv.Round(img.Height / scale)), BitDepth.U8, 1))
{
// 얼굴 검출을 위한 화상을 생성한다.
using (IplImage gray = new IplImage(img.Size, BitDepth.U8, 1))
{
Cv.CvtColor(img, gray, ColorConversion.BgrToGray);
Cv.Resize(gray, smallImg, Interpolation.Linear);
Cv.EqualizeHist(smallImg, smallImg);
}
using (CvHaarClassifierCascade cascade = CvHaarClassifierCascade.FromFile(Environment.CurrentDirectory + "\\" + "haarcascade_frontalface_alt.xml"))
using (CvMemStorage storage = new CvMemStorage())
{
storage.Clear();
// 얼굴을 검출한다.
CvSeq<CvAvgComp> faces = Cv.HaarDetectObjects(smallImg, cascade, storage, scaleFactor, minNeighbors, 0, new CvSize(20, 20));
// 검출한 얼굴에 검은색 원을 덮어씌운다.
for (int i = 0; i < faces.Total; i++)
{
CvRect r = faces[i].Value.Rect;
CvPoint center = new CvPoint
{
X = Cv.Round((r.X + r.Width * 0.5) * scale),
Y = Cv.Round((r.Y + r.Height * 0.5) * scale)
};
int radius = Cv.Round((r.Width + r.Height) * 0.25 * scale);
img.Circle(center, radius, new CvColor(0, 0, 0), -1, LineType.Link8, 0);
}
}
FindFace = img.Clone();
//생성한 IplImage 화상을 비트맵으로 변환해 반환한다.
return FindFace.ToBitmap(System.Drawing.Imaging.PixelFormat.Format24bppRgb);
}
}
private void next_Click(object sender, EventArgs e)
{
if (uCurrentFrameNo < uLastFrame)
{
uCurrentFrameNo++;
frameText.Text = uCurrentFrameNo.ToString();
cap.SetCaptureProperty(CaptureProperty.PosFrames, (Double)uCurrentFrameNo);
img = cap.QueryFrame();
ekran.Image = img.ToBitmap();
}
else
{
MessageBox.Show("Tebrikler! Video sonu!");
}
}
private void timer1_Tick(object sender, EventArgs e)
{
// キャプチャの開始. Capture starts.
IplImage ipl1 = capture.QueryFrame();
int l = 0;
int r = 0;
int m = 0;
// 取得したカメラ画像の高さと幅を取得し、labelに表示. Height and width of camera are shown in label.
//labelWidth.Text = capture.FrameWidth.ToString();
//labelHeight.Text = capture.FrameHeight.ToString();
if (ipl1 != null)
{
fig = true;
// pictureBoxに取得した画像を表示. Show the captured image.
pictureBox1.Image = ipl1.ToBitmap();
// メモリリークが発生するらしいので
// プログラムが動的に確保したメモリ領域のうち、
// 不要になった領域を定期的に自動解放する
if (GC.GetTotalMemory(false) > 600000)
{
GC.Collect();
}
// Image processing should be written from here.
// Extract edge of circle
CvMemStorage storage = new CvMemStorage();
IplImage gray = new IplImage(ipl1.Size, BitDepth.U8, 1);
IplImage binary = new IplImage(ipl1.Size, BitDepth.U8, 1);
//transform grayscale image from caputure image
Cv.CvtColor(ipl1, gray, ColorConversion.BgrToGray);
//グレイスケールの平滑化 誤検出を減らすため. Decrease the error recognition by Smoothing of the gray scale.
//Cv.Smooth(gray, gray, SmoothType.Gaussian, 9, 9, 1, 1);
//二値化した画像から円検出を行う(ハフ関数を使う). Using Hough function from grayscale.
CvSeq<CvCircleSegment> circl = Cv.HoughCircles(gray, storage, HoughCirclesMethod.Gradient, 2,200, 100, 100, 20, 200);
//HougCircles(input picture, memory space,Binarization method,inverse of graphic mode,shortest distance from other circle,)
foreach (CvCircleSegment crcl in circl)
{
ipl1.Circle(crcl.Center, (int)crcl.Radius, CvColor.Blue, 3);
labelCenter.Text = crcl.Center.ToString();
//labelCenter.Text = crcl.Center.ToString();
//double Area;
Area = crcl.Radius;// * crcl.Radius*3.14;
labelRadius.Text = Area.ToString();
x_pos = crcl.Center.X;
//labelArea.Text = Area.ToString();
}
//circl.Dispose();
storage.Dispose();
pictureBox1.Invalidate();
// Show the binaryimage to picturebox3.
Cv.Canny(gray,binary , 100, 100);
pictureBox3.Image = binary.ToBitmap();
//Show the capture image to picturebox2
pictureBox2.Image = ipl1.ToBitmap();
//
if (Area < 45)
{
textBox1.Text = br.Forward();
}
else if (Area > 80)
{
textBox1.Text = br.Back();
}
else
{
if (x_pos < 100 && Area > 0)
{
textBox1.Text = br.TurnLeft();
}
else if (x_pos > 220 && Area > 0)
{
textBox1.Text = br.TurnRight();
}
else
{
textBox1.Text = br.Stop();
}
}
}
else
{
timer1.Stop();
}
}
private void videoAçToolStripMenuItem_Click(object sender, EventArgs e)
{
OpenFileDialog opd = new OpenFileDialog();
if (opd.ShowDialog() == DialogResult.OK && opd.FileName.Length > 3)
{
cap = CvCapture.FromFile(opd.FileName);
img = cap.QueryFrame();
uLastFrame = (UInt16)cap.FrameCount;
Size newSize = new Size(img.Width, img.Height);
ekran.Size = newSize;
ekran.Image = img.ToBitmap();
uCurrentFrameNo = 1;
frameText.Text = uCurrentFrameNo.ToString();
newVideoOpened = true;
}
}
/// <summary>
/// Convert an IImage to a WPF BitmapSource. The result can be used in the Set Property of Image.Source
/// </summary>
/// <param name="image">OpevnCV Image</param>
/// <returns>The equivalent BitmapSource</returns>
public static BitmapSource ToBitmapSource(IplImage image)
{
using (Bitmap source = (Bitmap)image.ToBitmap().Clone())
{
IntPtr ptr = source.GetHbitmap(); //obtain the Hbitmap
BitmapSource bs = System.Windows.Interop.Imaging.CreateBitmapSourceFromHBitmap(
ptr,
IntPtr.Zero,
System.Windows.Int32Rect.Empty,
System.Windows.Media.Imaging.BitmapSizeOptions.FromEmptyOptions());
DeleteObject(ptr); //release the HBitmap
return bs;
}
}
