请问我这个程序有问题 出现错误（对象当前正在其他地方使用）和（位图区域被锁定）“如果您在gethdc方法调用releasehdc方法后使用图形对象” 我试图使用Viola Jones检测面部并通过SURF算法提取特征然后进行匹配：请问我该如何解决这个错误？代码如下： private void btnStartCam_Click（object sender，EventArgs e） { if（radWepCam.Checked == true）
if (videoSource.IsRunning)
{
_worker = new BackgroundWorker();
_worker.WorkerSupportsCancellation = true;
_worker.DoWork += new DoWorkEventHandler((state, args) =>
{
do
{
try
{
var cascade = new FaceHaarCascade();
var detector = new HaarObjectDetector(cascade, 40);
detector.SearchMode = ObjectDetectorSearchMode.Average;
detector.Suppression = 3;
detector.ScalingFactor = 1.25f;
detector.UseParallelProcessing = true;
detector.ScalingMode = ObjectDetectorScalingMode.SmallerToGreater;
detector.UseParallelProcessing = true;
Bitmap image = (Bitmap)pictureBox1.Image.Clone();
{
lock (image)
{
faceObjects = detector.ProcessFrame(image).ToArray();
FaceCount = 0;
foreach (var face in faceObjects)
{
Crop crop = new Crop(face);
newimage = new Bitmap(crop.Apply(image));
face.Inflate(-10, -10);
facearray[FaceCount] = newimage;
pictureBox2.Image = newimage;
FaceCount = FaceCount + 1;
}
}
int FaceCount2 = FaceCount;
for (int r = 0; r < FaceCount2 ; r++)
{
Bitmap imsetres = facearray[r];
System.Drawing.Image imgg1 = imsetres;
Image<Gray, Byte> g_image_1 = new Image<Gray, byte>((Bitmap)imgg1);
int endj = listAllEmployee.Items.Count - 1;
for (int j = 0; j < endj; j++)
{
int max = 0;
Bitmap imsetres2 = facearrayDB[j];
imsetres2.SetResolution(320, 280);
System.Drawing.Image imgg2 = imsetres2;
pictureBox3.Image = imgg2;
Image<Gray, Byte> g_image_2 = new Image<Gray, byte>((Bitmap)imgg2);
ImageFeature[] image_feacher_1 = detect1.DetectFeatures(g_image_1, null);
ImageFeature[] image_feacher_2 = detect1.DetectFeatures(g_image_2, null);
Features2DTracker traker = new Features2DTracker(image_feacher_1);
Features2DTracker.MatchedImageFeature[] matching = traker.MatchFeature(image_feacher_2, 2, 50);
matching = Features2DTracker.VoteForUniqueness(matching, 0.9);
matching = Features2DTracker.VoteForSizeAndOrientation(matching, 1.5, 20);
int machno = 0;
foreach (Features2DTracker.MatchedImageFeature matchedFeature in matching)
{
machno = machno + 1;
}
if (max <= machno)
{
max = machno;
}
if (max >= 30)
{
Image<Gray, Byte> res = g_image_1.ConcateVertical(g_image_2);
MessageBox.Show("Test Found " + j + "with matching points " + max);
foreach (Features2DTracker.MatchedImageFeature matchedFeature in matching)
{
PointF f = matchedFeature.ObservedFeature.KeyPoint.Point;
f.Y += g_image_1.Height;
res.Draw(new LineSegment2DF(matchedFeature.SimilarFeatures[0].Feature.KeyPoint.Point, f), new Gray(0), 1);
}
ImageViewer Imagee = new ImageViewer(res);
Imagee.ShowDialog();
}
matching = null;
traker = null;
image_feacher_1 = null;
image_feacher_2 = null;
}
}
}
}
catch (Exception ex)
{
MessageBox.Show("Error" + ex.Message);
}
}
while (!_worker.CancellationPending);
});
_worker.RunWorkerAsync();
btnStartCam.Enabled = false;
btnPauseCam.Enabled = true;
}