private WriteableBitmap FindPlate(IEnumerable<Rect> rects, WriteableBitmap image)
{
WriteableBitmap bestCandidate = null;
foreach (var rect in rects)
{
var croppedImage = image.Crop(rect);
var edgeFilter = new CannyEdgeDetector();
var smoothFilter = new Median();
var grayFilter = new Grayscale(0.2125, 0.7154, 0.0721);
var blobCounter = new BlobCounter();
var cutTop = croppedImage.PixelHeight * 0.3;
croppedImage = croppedImage.Crop(new Rect(0, cutTop, croppedImage.PixelWidth, croppedImage.PixelHeight));
var bitmap = (Bitmap)croppedImage;
var grayImage = grayFilter.Apply(bitmap);
bitmap = smoothFilter.Apply(grayImage);
edgeFilter.ApplyInPlace(bitmap);
blobCounter.ProcessImage(bitmap);
var blobs = blobCounter.GetObjectsInformation();
var possibleChars = new List<Rectangle>();
foreach (var blob in blobs)
{
var objRectangle = blob.Rectangle;
var ratio = (double)objRectangle.Height / (double)objRectangle.Width;
if (ratio >= 1.16d && ratio <= 6.3d)
{
possibleChars.Add(objRectangle);
}
}
if (possibleChars.Count == 0)
{
continue;
}
bestCandidate = croppedImage;
}
return bestCandidate;
}
// =========================================================
private void Edge_detectFunc(ref Bitmap frame, int par_int, double par_d, int par_R, int par_G, int par_B)
{
frame = Grayscale.CommonAlgorithms.RMY.Apply(frame); // Make gray
switch (par_int)
{
case 1:
SobelEdgeDetector SobelFilter = new SobelEdgeDetector();
SobelFilter.ApplyInPlace(frame);
break;
case 2:
DifferenceEdgeDetector DifferenceFilter = new DifferenceEdgeDetector();
DifferenceFilter.ApplyInPlace(frame);
break;
case 3:
HomogenityEdgeDetector HomogenityFilter = new HomogenityEdgeDetector();
HomogenityFilter.ApplyInPlace(frame);
break;
case 4:
CannyEdgeDetector Cannyfilter = new CannyEdgeDetector();
// apply the MirrFilter
Cannyfilter.ApplyInPlace(frame);
break;
default:
HomogenityEdgeDetector filter = new HomogenityEdgeDetector();
filter.ApplyInPlace(frame);
break;
}
GrayscaleToRGB RGBfilter = new GrayscaleToRGB(); // back to color format
frame = RGBfilter.Apply(frame);
}
private Bitmap GetEdgedImage(WriteableBitmap writeableBitmap)
{
var edgeFilter = new CannyEdgeDetector(255, 0);
var smoothFilter = new Median();
var grayFilter = new Grayscale(0.2125, 0.7154, 0.0721);
var bitmap = (Bitmap)writeableBitmap;
bitmap = grayFilter.Apply(bitmap);
smoothFilter.ApplyInPlace(bitmap);
edgeFilter.ApplyInPlace(bitmap);
return bitmap;
}
// =========================================================
private void Edge_detectFunc(ref Bitmap frame, int par_int)
{
frame = Grayscale.CommonAlgorithms.RMY.Apply(frame); // Make gray
switch (par_int) {
case 1:
SobelEdgeDetector SobelFilter = new SobelEdgeDetector();
SobelFilter.ApplyInPlace(frame);
break;
case 2:
DifferenceEdgeDetector DifferenceFilter = new DifferenceEdgeDetector();
DifferenceFilter.ApplyInPlace(frame);
break;
case 3:
HomogenityEdgeDetector HomogenityFilter = new HomogenityEdgeDetector();
HomogenityFilter.ApplyInPlace(frame);
break;
case 4:
// can we not have references to canny in the code. gives me ptsd flashbacks
CannyEdgeDetector Nightmare = new CannyEdgeDetector();
// apply the filter
Nightmare.ApplyInPlace(frame);
break;
default:
HomogenityEdgeDetector filter = new HomogenityEdgeDetector();
filter.ApplyInPlace(frame);
break;
}
GrayscaleToRGB RGBfilter = new GrayscaleToRGB(); // back to color format
frame = RGBfilter.Apply(frame);
}
private void button2_Click(object sender, EventArgs e)
{
button2.Text = "处理中";
switch (comboBox4.SelectedIndex)
{
case 0:
{
Bitmap temp = (Bitmap)pictureBox1.Image;
OilPainting filter3 = new OilPainting(10);
// apply the filter
filter3.ApplyInPlace(temp);
this.pictureBox2.Image = ResizeBitmap(temp);
break;
}
case 1:
{
Bitmap temp = (Bitmap)pictureBox1.Image;
temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp);
DifferenceEdgeDetector edgeDetector = new DifferenceEdgeDetector();
temp = edgeDetector.Apply(temp);
temp = new Threshold((int)numericUpDown1.Value).Apply(temp);
//FillHoles filter2 = new FillHoles();
//filter2.MaxHoleHeight = MinHeight;
//filter2.MaxHoleWidth = MaxWidth;
//filter2.CoupledSizeFiltering = false;
// apply the filter
//temp = filter2.Apply(temp);
//HorizontalRunLengthSmoothing hrls = new HorizontalRunLengthSmoothing(40);
// apply the filter
//hrls.ApplyInPlace(temp);
/*AForge.Imaging.Filters.BlobsFiltering filter = new AForge.Imaging.Filters.BlobsFiltering();
* // 设置过滤条件（对象长、宽至少为70）
* filter.CoupledSizeFiltering = true;
* filter.MaxWidth = (int)numericUpDown3.Value;
* filter.MaxHeight = (int)numericUpDown4.Value;
* filter.MinWidth = (int)numericUpDown5.Value;
* filter.MinHeight = (int)numericUpDown6.Value;
* filter.ApplyInPlace(temp);*/
BlobCounter blobCounter = new BlobCounter();
blobCounter.MinHeight = 32;
blobCounter.MinWidth = 32;
blobCounter.FilterBlobs = true;
blobCounter.ObjectsOrder = ObjectsOrder.Size;
// 4 - find all stand alone blobs
blobCounter.ProcessImage(temp);
Blob[] blobs = blobCounter.GetObjectsInformation();
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
List <IntPoint> corners = null;
List <IntPoint> corners2 = null;
for (int i = 0, n = blobs.Length; i < n; i++)
{
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
// does it look like a quadrilateral ?
if (shapeChecker.IsQuadrilateral(edgePoints, out corners))
{
// get edge points on the left and on the right side
List <IntPoint> leftEdgePoints, rightEdgePoints;
blobCounter.GetBlobsLeftAndRightEdges(blobs[i],
out leftEdgePoints, out rightEdgePoints);
listBox1.DataSource = leftEdgePoints;
listBox2.DataSource = rightEdgePoints;
}
}
//listBox1.DataSource = corners;
//listBox2.DataSource = corners2;
this.pictureBox1.Image = temp;
break;
}
case 2:
{
Bitmap bt2 = new Bitmap(@"D:\TCL条码\截图01.bmp");
Bitmap bt1 = new Bitmap(@"D:\TCL条码\截图03.bmp");
//Bitmap bt1 = new Bitmap(pictureBox2.Image);
ExhaustiveTemplateMatching tm = new ExhaustiveTemplateMatching(0.80f);
//基于一定的相似性阈值获得匹配块
TemplateMatch[] matchings = tm.ProcessImage(bt1, bt2);
BitmapData data = bt1.LockBits(
new Rectangle(0, 0, bt1.Width, bt1.Height),
ImageLockMode.ReadWrite, bt1.PixelFormat);
foreach (TemplateMatch m in matchings)
{
Drawing.Rectangle(data, m.Rectangle, Color.Red);
}
bt1.UnlockBits(data);
pictureBox2.Image = bt1;
break;
}
case 3:
{
Bitmap bt2 = new Bitmap(@"D:\TCL条码\Canny算法.png");
AForge.Imaging.Filters.BlobsFiltering filter = new AForge.Imaging.Filters.BlobsFiltering();
// 设置过滤条件（对象长、宽至少为70）
filter.CoupledSizeFiltering = true;
filter.MaxWidth = (int)numericUpDown3.Value;
filter.MaxHeight = (int)numericUpDown4.Value;
filter.MinWidth = (int)numericUpDown5.Value;
filter.MinHeight = (int)numericUpDown6.Value;
filter.ApplyInPlace(bt2);
pictureBox1.Image = bt2;
byte[] RESULT = BitmapToBytes(bt2);
break;
}
case 4:
{
Bitmap temp = (Bitmap)pictureBox1.Image;
temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp);
AForge.Imaging.Filters.CannyEdgeDetector filter = new AForge.Imaging.Filters.CannyEdgeDetector();
filter.ApplyInPlace(temp);
pictureBox2.Image = temp;
break;
}
}
button2.Text = "处理";
}
private void videoNewFrame(object sender, NewFrameEventArgs args)
{
Bitmap temp = args.Frame.Clone() as Bitmap;
switch (comboBox3.SelectedIndex)
{
case 0:
break;
case 1:
temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp);
break;
case 2:
temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp);
temp = new Threshold((int)numericUpDown1.Value).Apply(temp);
break;
case 3:
temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp);
AForge.Imaging.Filters.CannyEdgeDetector filter = new AForge.Imaging.Filters.CannyEdgeDetector();
filter.ApplyInPlace(temp);
break;
case 4:
for (int i = 0; i < (int)numericUpDown2.Value; i++)
{
temp = new Dilatation().Apply(temp);
}
break;
case 5:
for (int i = 0; i < (int)numericUpDown2.Value; i++)
{
temp = new Erosion().Apply(temp);
}
break;
case 6:
temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp);
AForge.Imaging.Filters.BradleyLocalThresholding filter1 = new AForge.Imaging.Filters.BradleyLocalThresholding();
filter1.ApplyInPlace(temp);
break;
}
switch (comboBox2.SelectedIndex)
{
case 0:
{
BarcodeReader reader = new BarcodeReader();
reader.Options.CharacterSet = "UTF-8";
Result result = reader.Decode(temp);
if (result != null)
{
if (wait == false)
{
MessageBox.Show(result.ToString());
wait = true;
}
}
else
{
wait = false;
}
break;
}
case 1:
{
/*Bitmap pImg = MakeGrayscale3((Bitmap)temp);
* using (ZBar.ImageScanner scanner = new ZBar.ImageScanner())
* {
* scanner.SetConfiguration(ZBar.SymbolType.None, ZBar.Config.Enable, 0);
* scanner.SetConfiguration(ZBar.SymbolType.CODE39, ZBar.Config.Enable, 1);
* scanner.SetConfiguration(ZBar.SymbolType.CODE128, ZBar.Config.Enable, 1);
*
* List<ZBar.Symbol> symbols = new List<ZBar.Symbol>();
* symbols = scanner.Scan((System.Drawing.Image)pImg);
* if (symbols != null && symbols.Count > 0)
* {
* string result = string.Empty;
* symbols.ForEach(s => result += s.Data);
* if (wait == false)
* {
* MessageBox.Show(result);
* wait = true;
* }
* }
* else
* wait = false;
* }*/
break;
}
case 2:
{
break;
}
case 3:
break;
}
this.pictureBox1.Image = ResizeBitmap(temp);
}
