Bitmap getLoctaionOfCircle(Bitmap bitmp, List <int> circleX, List <int> circle1Y, List <int> radius1, int count)
{
int leftMostItem = circleX[0];
int highestDot = circle1Y[0];
foreach (var item in circleX)
{
if (item < leftMostItem)
{
leftMostItem = item;
}
}
foreach (var item in circle1Y)
{
if (item < highestDot)
{
highestDot = item;
}
}
Debug.WriteLine("The highest point is " + highestDot);
Debug.WriteLine("The LeftMost point is " + leftMostItem);
int topPoint = (highestDot - radius1[0]) - 1;
int leftMostPoint = (leftMostItem - (radius1[0]));
int diameter = (radius1[0] * 3);
Crop topLeftCorner = new Crop(new Rectangle(leftMostPoint, topPoint, diameter * 2, diameter * 4));
Bitmap m = topLeftCorner.Apply(bitmp);
return(topLeftCorner.Apply(bitmp));
}
private double Fitness(MyRectangle rect, byte intensity)
{
Crop crop = new Crop(rect.Rectangle);
var cropped = crop.Apply(GreyImage);
ImageStatistics stat = new ImageStatistics(crop.Apply(GreyImage));
Histogram hist = stat.Gray;
double sameColorRatio = (double)hist.Values[intensity] / hist.TotalCount;
return(sameColorRatio == 1 ? -rect.Size : -sameColorRatio);
}
/// <summary>
/// This is the time consuming part. We try to find pen candidates in two pictures
/// by their filtered difference in a specified area.
/// </summary>
/// <param name="previous">Previous video picture</param>
/// <param name="current">Current video picture</param>
/// <returns>Candidates</returns>
private IEnumerable <PenCandidate> findPenCandidatesInArea(Bitmap previous, Bitmap current, Rectangle searchArea)
{
if (!searchArea.IsEmpty)
{
Crop cropFilter = new Crop(searchArea);
previous = cropFilter.Apply(previous);
current = cropFilter.Apply(current);
}
// calculate difference image
this.Strategy.DifferenceFilter.OverlayImage = previous;
Bitmap diffImage = current; //this.Strategy.DifferenceFilter.Apply(current);
//diffImage.Save(@"c:\temp\images\diff-"+CurrentMillis.Millis+".png");
// translate red parts to gray image
Bitmap grayImage = this.Strategy.GrayFilter.Apply(diffImage);
//a.Save(@"c:\temp\images\r2_grey16.bmp");
// treshold the gray image
Bitmap tresholdImage = this.Strategy.ThresholdFilter.Apply(grayImage);
//tresholdImage.Save(@"c:\temp\images\blobs-" + CurrentMillis.Millis + ".png");
#if DEBUG
if (DebugPicture != null)
{
DebugPicture(this, new DebugPictureEventArgs(new List <Bitmap>()
{
diffImage, grayImage, tresholdImage
}));
}
#endif
// count white blobs (TODO ev. kann man den thresholdFilter wegschmeissen, siehe ctr parameter von BlobCounter)
this.Strategy.BlobCounter.ProcessImage(tresholdImage);
// frame found blobs and add information
Rectangle[] rawCandidates = this.Strategy.BlobCounter.GetObjectsRectangles();
List <PenCandidate> candidates = new List <PenCandidate>();
foreach (Rectangle r in rawCandidates)
{
r.Offset(searchArea.Location); // Adjust Blob Location to search area
candidates.Add(new PenCandidate()
{
Rectangle = r,
WeightedCenter = PointTools.CalculateCenterPoint(r) // TODO more precise weightening
});
}
return(candidates);
}
public static void ExtractRegionsDevice2(Bitmap frame1, Bitmap frame2)
{
frame1 = greyscaleFilter2.Apply(frame1);
frame2 = greyscaleFilter2.Apply(frame2);
lock (_lock2)
{
cropFilter2.Rectangle = Region3;
ROI3 = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame1)));
diffFilter2.OverlayImage = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame2)));
ROI3Diff = diffFilter2.Apply(ROI3);
subFilter2.OverlayImage = invertFilter2.Apply(threshFilter2.Apply(ROI3Diff));
ROI3DropDiff = subFilter2.Apply(ROI3Diff);
cropFilter2.Rectangle = Region4;
ROI4 = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame1)));
diffFilter2.OverlayImage = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame2)));
ROI4Diff = diffFilter2.Apply(ROI4);
subFilter2.OverlayImage = invertFilter2.Apply(threshFilter2.Apply(ROI4Diff));
ROI4DropDiff = subFilter2.Apply(ROI4Diff);
cropFilter2.Rectangle = Region7;
ROI7 = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame1)));
diffFilter2.OverlayImage = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame2)));
ROI7Diff = diffFilter2.Apply(ROI7);
subFilter2.OverlayImage = invertFilter2.Apply(threshFilter2.Apply(ROI7Diff));
ROI7DropDiff = subFilter2.Apply(ROI7Diff);
cropFilter2.Rectangle = Region8;
ROI8 = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame1)));
diffFilter2.OverlayImage = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame2)));
ROI8Diff = diffFilter2.Apply(ROI8);
subFilter2.OverlayImage = invertFilter2.Apply(threshFilter2.Apply(ROI8Diff));
ROI8DropDiff = subFilter2.Apply(ROI8Diff);
}
}
/// <summary>
/// Function that crops top-right part of card image , with size 30x60
/// </summary>
/// <returns>Cropped image</returns>
public Bitmap GetTopLeftPart()
{
if (image == null)
{
return(null);
}
Crop crop = new Crop(new Rectangle(0, 0, 30, 84));
Bitmap im2 = crop.Apply(image);
im2.Save("cropped", System.Drawing.Imaging.ImageFormat.Jpeg);
return(crop.Apply(image));
}
public HandPositionTracker(String baseImageFile, String frameImagePath)
{
DirectoryInfo source = new DirectoryInfo(frameImagePath);
if (Directory.Exists(source.FullName) == false)
{
Directory.CreateDirectory(source.FullName);
}
Bitmap baseBitmap = new Bitmap(baseImageFile);
_baseImage = UnmanagedImage.FromManagedImage(baseBitmap);
// Cut Bottom for later use
Crop cropFilter = new Crop(BOTTOM_BASE_STRIPE);
_bottomBaseImage = cropFilter.Apply(_baseImage);
_bottomBaseImage.ToManagedImage().Save(@"c:\temp\recognition\bottombase.png");
// Load Images
_images = new List <UnmanagedImage>();
foreach (FileInfo i in source.GetFiles("*.png"))
{
Bitmap b = new Bitmap(i.FullName);
_images.Add(UnmanagedImage.FromManagedImage(b));
}
}
/// <summary>
/// 重置图片的指定大小并且居中
/// </summary>
/// <param name="list"></param>
/// <returns></returns>
public static List <Bitmap> ToResizeAndCenterIt(List <Bitmap> list, int w = 20, int h = 20)
{
List <Bitmap> resizeList = new List <Bitmap>();
for (int i = 0; i < list.Count; i++)
{
//反转一下图片
list[i] = new Invert().Apply(list[i]);
int sw = list[i].Width;
int sh = list[i].Height;
Crop corpFilter = new Crop(new Rectangle(0, 0, w, h));
list[i] = corpFilter.Apply(list[i]);
//再反转回去
list[i] = new Invert().Apply(list[i]);
//计算中心位置
int centerX = (w - sw) / 2;
int centerY = (h - sh) / 2;
list[i] = new CanvasMove(new IntPoint(centerX, centerY), Color.White).Apply(list[i]);
resizeList.Add(list[i]);
}
return(resizeList);
}
private void btnStop_Click(object sender, RoutedEventArgs e)
{
// StopCamera();
// create filter
double x = Canvas.GetLeft(RectViewPoint);
double y = Canvas.GetTop(RectViewPoint);
double x1 = Canvas.GetLeft(videoPlayer);
double y1 = Canvas.GetTop(videoPlayer);
Crop filter = new Crop(new System.Drawing.Rectangle((int)x, (int)y, (int)RectViewPoint.Width, (int)RectViewPoint.Height));
// apply the filter
BitmapImage bi = (BitmapImage)videoPlayer.Source;
System.Drawing.Bitmap bitmap = new System.Drawing.Bitmap(bi.StreamSource);
Bitmap newImage = filter.Apply(new Bitmap(bitmap));
if (imgcapture1.Source == null)
{
imgcapture1.Source = newImage.ToBitmapImage();
}
else if (imgcapture2.Source == null)
{
imgcapture2.Source = newImage.ToBitmapImage();
btnCapture.IsEnabled = false;
}
else
{
}
}
private void pictureBox1ImagePreview_MouseUp_1(object sender, MouseEventArgs e)
{
if (cropagree != true)
{
return;
}
mouseClicked = false;
cropagree = false;
if (endPoint.X != -1)
{
Point currentPoint = new System.Drawing.Point(e.X, e.Y);
}
endPoint.X = -1;
endPoint.Y = -1;
startPoint.X = -1;
startPoint.Y = -1;
pictureBox1ImagePreview.Refresh();
Bitmap sourceBitmap = new Bitmap(pictureBox1ImagePreview.Image,
pictureBox1ImagePreview.Width, pictureBox1ImagePreview.Height);
Crop filter = new Crop(rectCropArea);
// apply the filter
Bitmap newImage = filter.Apply(sourceBitmap);
pictureBox1ImagePreview.Image = newImage;
imgFile = pictureBox1ImagePreview.Image;
}
private void calibrateButton_Click(object sender, RoutedEventArgs e)
{
Bitmap bmp = BitmapFromSource((BitmapSource)normalVideoImage.Source);
BitmapData bitmapData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), ImageLockMode.ReadWrite, bmp.PixelFormat);
var filter = new Crop(new Rectangle((bmp.Width / 2) - (FilterWidth / 4), (bmp.Height / 2) - (FilterHeight / 4), FilterWidth / 2, FilterHeight / 2));
var croppedBitmap = filter.Apply(bitmapData);
var stats = new ImageStatistics(croppedBitmap);
redTextBox.Text = Convert.ToInt32(stats.Red.Median).ToString();
greenTextBox.Text = Convert.ToInt32(stats.Green.Median).ToString();
blueTextBox.Text = Convert.ToInt32(stats.Blue.Median).ToString();
var brushColor = new System.Windows.Media.Color();
brushColor.R = byte.Parse(redTextBox.Text);
brushColor.G = byte.Parse(greenTextBox.Text);
brushColor.B = byte.Parse(blueTextBox.Text);
brushColor.A = byte.MaxValue;
calibratedColorRect.Fill = new SolidColorBrush(brushColor);
calibrated = true;
testPassedLabel.Content = "";
Corners.Clear();
StartDetecting = false;
}
private Bitmap cut(Bitmap source, int x, int width)
{
Rectangle rect = new Rectangle(x, 0, width, source.Height);
Crop c = new Crop(rect);
return(c.Apply(source));
}
public Bitmap GetSelectedPicture()
{
var crop = new Crop(Rect);
var newBmp = crop.Apply(pictureBox1.Image as Bitmap);
return(newBmp);
}
// New frame received by the player
private void videoSourcePlayer_NewFrame(object sender, ref Bitmap image)
{
//DateTime now = DateTime.Now;
Graphics g = Graphics.FromImage(image);
// paint current time
//SolidBrush brush = new SolidBrush( Color.Red );
//g.DrawString( now.ToString( ), this.Font, brush, new PointF( 5, 5 ) );
if (radioButtonFixPicNo.Checked)
{
Crop filter = new Crop(new Rectangle(50, 300, 400, 400));
Bitmap newImage = filter.Apply(image);
ResizeBilinear filter1 = new ResizeBilinear(200, 200);
newImage = filter1.Apply(newImage);
GrayscaleBT709 filter2 = new GrayscaleBT709();
Bitmap grayImage = filter2.Apply(newImage);
ResizeBilinear filter3 = new ResizeBilinear(28, 28);
Bitmap smallPic = filter3.Apply(grayImage);
pictureBox1.Image = grayImage;
pictureBox2.Image = smallPic;
}
//brush.Dispose( );
g.Dispose( );
}
public static Bitmap FileTo24bbpRgb(this string file, double ResizeRatio = 1.0d, double FrameCrop = 1.0d, double ImageZoom = 1.0d, int RotateDegree = 0)
{
try {
StreamReader streamReader = new StreamReader(file);
Bitmap tempOri = (Bitmap)Image.FromStream(streamReader.BaseStream, true);
int CanvasWidth = (int)Math.Round(ResizeRatio * tempOri.Width);
int CanvasHeight = (int)Math.Round(ResizeRatio * tempOri.Height);
Bitmap Original = new Bitmap(CanvasWidth, CanvasHeight, PixelFormat.Format24bppRgb);
using (Graphics graphics = Graphics.FromImage(Original)) {
graphics.CompositingQuality = CompositingQuality.HighQuality;
graphics.InterpolationMode = InterpolationMode.HighQualityBicubic;
graphics.SmoothingMode = SmoothingMode.HighQuality;
graphics.DrawImage(tempOri, (int)Math.Round(ResizeRatio * (ImageZoom - 1.0d) * tempOri.Width / -2.0d), (int)Math.Round(ResizeRatio * (ImageZoom - 1.0d) * tempOri.Height / -2.0d), (int)Math.Round(ResizeRatio * ImageZoom * tempOri.Width), (int)Math.Round(ResizeRatio * ImageZoom * tempOri.Height));
} tempOri.Dispose(); streamReader.Dispose();
if (FrameCrop != 1.0d)
{
Crop cropfilter = new Crop(new Rectangle((int)Math.Round(FrameCrop * (1 - FrameCrop) * CanvasWidth),
(int)Math.Round(FrameCrop * (1 - FrameCrop) * CanvasHeight),
(int)Math.Round(FrameCrop * CanvasWidth), (int)Math.Round(FrameCrop * CanvasHeight)));
Original = cropfilter.Apply(Original);
}
if (RotateDegree != 0)
{
RotateBicubic rotatefilter = new RotateBicubic(RotateDegree, keepSize: true);
Original = rotatefilter.Apply(Original);
}
return(Original);
} catch { throw new Exception("Failed to import the image files."); }
}
/// <summary>
/// 切割21位码的区域
/// </summary>
/// <param name="source"></param>
/// <param name="ticketType"></param>
/// <returns></returns>
public Bitmap ExtractTicketCodeImageArea(Bitmap source, int ticketType, int QRBottomY)
{
Bitmap temp = (Bitmap)source.Clone();
Bitmap retImg = null;
if (Config.BLUE_TICKET == ticketType)
{
int leftX = Convert.ToInt16(temp.Width * Config.BLUE_CODE_X_CORP_RATIO);
int topY = Convert.ToInt16(temp.Height * Config.BLUE_CODE_Y_CORP_RATIO);
int w = Convert.ToInt16(temp.Width * Config.BLUE_CODE_W_CORP_RATIO);
int h = Convert.ToInt16(temp.Height * Config.BLUE_CODE_H_CORP_RATIO);
Rectangle rect = new Rectangle(leftX, QRBottomY, w, h);
Crop corp = new Crop(rect);
retImg = corp.Apply(temp);
}
else
{
int leftX = Convert.ToInt16(temp.Width * Config.RED_CODE_X_CORP_RATIO);
int topY = Convert.ToInt16(temp.Height * Config.RED_CODE_Y_CORP_RATIO);
int w = Convert.ToInt16(temp.Width * Config.RED_CODE_W_CORP_RATIO);
int h = Convert.ToInt16(temp.Height * Config.RED_CODE_H_CORP_RATIO);
int h1 = Convert.ToInt16(h * 1.5);
Rectangle rect = new Rectangle(leftX, QRBottomY - h, w, h1);
Crop corp = new Crop(rect);
retImg = corp.Apply(temp);
}
return(retImg.Clone(new Rectangle(0, 0, retImg.Width, retImg.Height), PixelFormat.Format24bppRgb));
}
private void ZoomImg(ref Bitmap frame, double Factor)
{
if (rotateCam && (rotateAmount == 0 || rotateAmount == 2))
{
int x = (int)(1280 * 1.7);
int y = (int)(720 * 1.7);
frame = ResizeImage(frame, new Size(x, y));
}
if (Factor < 0.1)
{
return;
}
int centerX = frame.Width / 2;
int centerY = frame.Height / 2;
int OrgSizeX = frame.Width;
int OrgSizeY = frame.Height;
int fromX = centerX - (int)(centerX / Factor);
int fromY = centerY - (int)(centerY / Factor);
int SizeX = (int)(OrgSizeX / Factor);
int SizeY = (int)(OrgSizeY / Factor);
Crop CrFilter = new Crop(new Rectangle(fromX, fromY, SizeX, SizeY));
frame = CrFilter.Apply(frame);
frame = ResizeImage(frame, new Size(OrgSizeX, OrgSizeY));
}
/// <summary>
/// 图片分割
/// </summary>
/// <param name="img"></param>
/// <returns></returns>
public static IList <Bitmap> Split(Bitmap img, int charCount)
{
IList <Bitmap> bmpList = new List <Bitmap>();
if (img == null)
{
return(bmpList);
}
List <int[]> xCutPointList = GetXCutPointList(img);
List <int[]> yCutPointList = GetYCutPointList(xCutPointList, img);
for (int i = 0; i < xCutPointList.Count(); i++)
{
int xStart = xCutPointList[i][0];
int xEnd = xCutPointList[i][1];
int yStart = yCutPointList[i][0];
int yEnd = yCutPointList[i][1];
if (i >= charCount)
{
break;
}
Rectangle rect = new Rectangle(xStart, yStart, xEnd - xStart + 1, yEnd - yStart + 1);
Crop c = new Crop(rect);
bmpList.Add(c.Apply(img));
}
bmpList = ToResizeAndCenterIt(bmpList);
return(bmpList);
}
/// <summary>
/// 等距分割21位码
/// </summary>
/// <param name="img"></param>
/// <param name="sourceWidth"></param>
/// <param name="sourceHeight"></param>
/// <returns></returns>
public static IList <Bitmap> SplitTicketCodeByDefinedWidth(Bitmap img, int sourceWidth, int sourceHeight)
{
IList <Bitmap> bmpList = new List <Bitmap>();
int charW = Convert.ToInt16(sourceWidth * Config.BLUE_CODE_CHAR_WIDTH_RATIO);
int h = img.Height;
Rectangle rect = new Rectangle(0, 0, charW, h);
Crop c;
int numW = (img.Width - charW) / 20;
for (int i = 0; i < 21; i++)
{
if (i < 14)
{
int x = numW * i;
rect = new Rectangle(x, 0, numW, h);
c = new Crop(rect);
bmpList.Add(c.Apply(img));
}
else if (i == 14)
{
int x = numW * i;
rect = new Rectangle(x, 0, numW + 3, h);
c = new Crop(rect);
bmpList.Add(c.Apply(img));
}
else
{
int x = numW * i + 3;
rect = new Rectangle(x, 0, numW, h);
c = new Crop(rect);
bmpList.Add(c.Apply(img));
}
}
return(bmpList);
}
/// <summary>
/// 提取印刷票号图像
/// </summary>
/// <param name="source"></param>
/// <param name="ticketType"></param>
/// <returns></returns>
public static Bitmap ExtractTicketNoImage(Bitmap source, int ticketType)
{
Bitmap b = null;
if (Config.BLUE_TICKET == ticketType)
{
int leftX = Convert.ToInt16(source.Width * Config.BLUE_TICKETNO_X_CORP_RATIO);
int topY = Convert.ToInt16(source.Height * Config.BLUE_TICKETNO_Y_CORP_RATIO);
int w = Convert.ToInt16(source.Width * Config.BLUE_TICKETNO_W_CORP_RATIO);
int h = Convert.ToInt16(source.Height * Config.BLUE_TICKETNO_H_CORP_RATIO);
Rectangle rect = new Rectangle(leftX, topY, w, h);
Crop corp = new Crop(rect);
b = corp.Apply(source);
}
else
{
int leftX = Convert.ToInt16(source.Width * Config.BLUE_TICKETNO_X_CORP_RATIO);
int topY = Convert.ToInt16(source.Height * Config.BLUE_TICKETNO_Y_CORP_RATIO);
int w = Convert.ToInt16(source.Width * Config.BLUE_TICKETNO_W_CORP_RATIO);
int h = Convert.ToInt16(source.Height * Config.BLUE_TICKETNO_H_CORP_RATIO);
Rectangle rect = new Rectangle(leftX, topY, w, h);
Crop corp = new Crop(rect);
b = corp.Apply(source);
}
return(b);
}
/// <summary>
/// IF options include split screen style then apply the applicable cropping else return the source
/// </summary>
/// <param name="source"></param>
/// <param name="options"></param>
/// <returns></returns>
private Bitmap SplitSourceImage(Bitmap source, TemplateMatchOptions options)
{
if (options.SplitScreenPanel != Panel.All)
{
Crop f = new Crop(GetCrop(source, options));
//var ss = f.Apply(source);
//ss.Save("croptest.png", ImageFormat.Png);
//throw new Exception();
try
{
var output = f.Apply(source);
if (options.SavePath != "")
{
output.Save(options.SavePath.UnCleanString(), ImageFormat.Png);
}
return(output);
}
catch
{
Compiler.ExceptionListener.Throw("[53]There was an unexpected issue getting Options for your source image cropping. Please " +
"double check your additional options!");
return(source);
}
}
else
{
return(source);
}
}
/// <summary>
/// 截取二维码区域
/// </summary>
/// <param name="source"></param>
/// <param name="ticketType"></param>
/// <returns></returns>
public Tuple <Bitmap, Rectangle> ExtractQRCodeImageArea(Bitmap source, int ticketType)
{
Bitmap temp = (Bitmap)source.Clone();
Bitmap retImg = null;
Rectangle rect = new Rectangle();
if (Config.BLUE_TICKET == ticketType)
{
int leftX = Convert.ToInt16(temp.Width * Config.BLUE_QRCODE_X_COPR_RATIO);
int topY = Convert.ToInt16(temp.Height * Config.BLUE_QRCODE_Y_COPR_RATIO);
int w = Convert.ToInt16(temp.Width * Config.BLUE_QRCODE_W_COPR_RATIO);
int h = Convert.ToInt16(temp.Height * Config.BLUE_QRCODE_H_COPR_RATIO);
rect = new Rectangle(leftX, topY, w, h);
Crop corp = new Crop(rect);
retImg = corp.Apply(temp);
}
else
{
int leftX = Convert.ToInt16(temp.Width * Config.RED_QRCODE_X_COPR_RATIO);
int topY = Convert.ToInt16(temp.Height * Config.RED_QRCODE_Y_COPR_RATIO);
int w = Convert.ToInt16(temp.Width * Config.RED_QRCODE_W_COPR_RATIO);
int h = Convert.ToInt16(temp.Height * Config.RED_QRCODE_H_COPR_RATIO);
rect = new Rectangle(leftX, topY, w, h);
Crop corp = new Crop(rect);
retImg = corp.Apply(temp);
}
return(Tuple.Create <Bitmap, Rectangle>(retImg, rect));
}
public List <Bitmap> cropImageIntoSegments(Bitmap imageToBeCropped)
{
Debug.WriteLine("I have been cropped");
int width = Convert.ToInt32(imageToBeCropped.Width * 0.5);
int heightperSqaure = Convert.ToInt32(imageToBeCropped.Height * 0.3333);
List <Bitmap> images = new List <Bitmap>();
Crop topLeftCorner = new Crop(new Rectangle(0, 0, width, heightperSqaure + 5));
Crop topRightCorner = new Crop(new Rectangle(width, 0, width, heightperSqaure + 5));
Crop leftMiddleCorner = new Crop(new Rectangle(0, heightperSqaure, width, heightperSqaure + 5));
Crop rightMiddleCorner = new Crop(new Rectangle(width, heightperSqaure, width, heightperSqaure + 5));
Crop bottomLeftCorner = new Crop(new Rectangle(0, heightperSqaure * 2, width, heightperSqaure + 5));
Crop bottomRightCorner = new Crop(new Rectangle(width, heightperSqaure * 2, width, heightperSqaure + 5));
images.Add(topLeftCorner.Apply(imageToBeCropped));
images.Add(topRightCorner.Apply(imageToBeCropped));
images.Add(leftMiddleCorner.Apply(imageToBeCropped));
images.Add(rightMiddleCorner.Apply(imageToBeCropped));
images.Add(bottomLeftCorner.Apply(imageToBeCropped));
images.Add(bottomRightCorner.Apply(imageToBeCropped));
return(images);
}
// =========================================================
private void ZoomFunct(ref Bitmap frame, double Factor)
{
if (Factor < 0.1)
{
return;
}
int centerX = frame.Width / 2;
int centerY = frame.Height / 2;
int OrgSizeX = frame.Width;
int OrgSizeY = frame.Height;
int fromX = centerX - (int)(centerX / Factor);
int fromY = centerY - (int)(centerY / Factor);
int SizeX = (int)(OrgSizeX / Factor);
int SizeY = (int)(OrgSizeY / Factor);
try {
Crop CrFilter = new Crop(new Rectangle(fromX, fromY, SizeX, SizeY));
frame = CrFilter.Apply(frame);
ResizeBilinear RBfilter = new ResizeBilinear(OrgSizeX, OrgSizeY);
frame = RBfilter.Apply(frame);
} catch {
}
}
public string Recognize(ref Bitmap img)
{
var curImg = Crop(img);
var stack = "";
Crop cr;
while (true)
{
var symb = RecognizeSymbol(ref curImg);
if (symb != null)
{
stack += symb;
cr = new Crop(new Rectangle(symb.Width, 0, curImg.Width - symb.Width, curImg.Height));
if (symb.Width == curImg.Width)
{
return(stack);
}
curImg = CropLeft(cr.Apply(curImg));
}
else
{
return(stack);
}
}
}
Bitmap CropLeft(Bitmap img)
{
if (UseForeGround)
{
var leftCrop = 0;
for (int i = 0; i < img.Width; i++)
{
var crop = true;
for (int j = 0; j < img.Height; j++)
{
var pix = img.GetPixel(i, j);
if ((pix.R == BgOrForeColor.R) && (pix.G == BgOrForeColor.G) && (pix.B == BgOrForeColor.B))
{
crop = false;
break;
}
}
if (crop == false)
{
leftCrop = i;
break;
}
}
var cr =
new Crop(new Rectangle(leftCrop, 0, img.Width - leftCrop,
img.Height));
return(cr.Apply(img));
}
else
{
var leftCrop = 0;
for (int i = 0; i < img.Width; i++)
{
var crop = true;
for (int j = 0; j < img.Height; j++)
{
var pix = img.GetPixel(i, j);
if ((pix.R != BgOrForeColor.R) || (pix.G != BgOrForeColor.G) || (pix.B != BgOrForeColor.B))
{
crop = false;
break;
}
}
if (crop == false)
{
leftCrop = i;
break;
}
}
var cr =
new Crop(new Rectangle(leftCrop, 0, img.Width - leftCrop,
img.Height));
return(cr.Apply(img));
}
}
/// <summary>
/// 按照 Y 轴线 切割
/// (丢弃等于号)
/// </summary>
/// <param name="?"></param>
/// <returns></returns>
public static List <Bitmap> Crop_Y(Bitmap b)
{
var list = new List <Bitmap>();
int[] cols = new int[b.Width];
for (int x = 0; x < b.Width; x++)
{
for (int y = 0; y < b.Height; y++)
{
//获取当前像素点像素
var pixel = b.GetPixel(x, y);
//说明是黑色点
if (pixel.R == 0)
{
cols[x] = ++cols[x];
}
}
}
int left = 0, right = 0;
for (int i = 0; i < cols.Length; i++)
{
//说明该列有像素值（为了防止像素干扰，去噪后出现空白的问题，所以多判断一下，防止切割成多个)
if (cols[i] > 0 || (i + 1 < cols.Length && cols[i + 1] > 0))
{
if (left == 0)
{
//切下来图片的横坐标left
left = i;
}
else
{
//切下来图片的横坐标right
right = i;
}
}
else
{
//说明已经有切割图了，下面我们进行切割处理
if ((left > 0 || right > 0))
{
Crop corp = new Crop(new Rectangle(left, 0, right - left + 1, b.Height));
var small = corp.Apply(b);
//居中，将图片放在20*50的像素里面
list.Add(small);
}
left = right = 0;
}
}
return(list);
}
//crop the image
private static Bitmap Crop(Bitmap image, Rectangle originalBounds)
{
int offset = (int)((image.Width - originalBounds.Width) / 2.0 + .5);
Crop filter = new Crop(new Rectangle(offset, offset, originalBounds.Width - offset, originalBounds.Height - offset));
// apply the filter
return(filter.Apply(image));
}
public IList <Bitmap> SplitTicketCodeByDefinedWidth(Bitmap img, int ticketType)
{
//Bitmap img = CutTicketCodeEdge(sourceImg, ticketType);
int sourceWidth = 0;
int charW = 0;
int numW = 0;
int offset = 0;
if (Config.RED_TICKET == ticketType)
{
sourceWidth = Config.RED_TICKET_WIDTH;
charW = Convert.ToInt16(sourceWidth * Config.RED_CODE_CHAR_WIDTH_RATIO);
numW = Convert.ToInt16(sourceWidth * Config.RED_CODE_NUM_WIDTH_RATIO);
offset = Convert.ToInt16(sourceWidth * Config.RED_CODE_CHAR_OFFSET_RATIO);
}
else
{
sourceWidth = Config.BLUE_TICKET_WIDTH;
charW = Convert.ToInt16(sourceWidth * Config.BLUE_CODE_CHAR_WIDTH_RATIO);
numW = Convert.ToInt16(sourceWidth * Config.BLUE_CODE_NUM_WIDTH_RATIO);
offset = Convert.ToInt16(sourceWidth * Config.BLUE_CODE_CHAR_OFFSET_RATIO);
}
IList <Bitmap> bmpList = new List <Bitmap>();
int h = img.Height;
Rectangle rect = new Rectangle(0, 0, charW, h);
Crop c;
//int numW = (img.Width - charW) / 20;
for (int i = 0; i < 21; i++)
{
if (i < 14)
{
int x = numW * i;
rect = new Rectangle(x, 0, numW, h);
c = new Crop(rect);
bmpList.Add(c.Apply(img));
}
else if (i == 14)
{
int x = numW * i;
rect = new Rectangle(x, 0, numW + offset, h);
c = new Crop(rect);
bmpList.Add(c.Apply(img));
}
else
{
int x = numW * i + offset;
rect = new Rectangle(x, 0, numW, h);
c = new Crop(rect);
bmpList.Add(c.Apply(img));
}
}
return(bmpList);
}
/// <summary>
/// 按照 X 轴线 切割
/// </summary>
/// <param name="b"></param>
/// <returns></returns>
public static List <Bitmap> Crop_X(List <Bitmap> list)
{
var corplist = new List <Bitmap>();
//再对分割的图进行上下切割，取出上下的白边
foreach (var segb in list)
{
//统计每一行的“1”的个数，方便切除
int[] rows = new int[segb.Height];
/*
* 横向切割
*/
for (int y = 0; y < segb.Height; y++)
{
for (int x = 0; x < segb.Width; x++)
{
//获取当前像素点像素
var pixel = segb.GetPixel(x, y);
//说明是黑色点
if (pixel.R == 0)
{
rows[y] = ++rows[y];
}
}
}
int bottom = 0, top = 0;
for (int y = 0; y < rows.Length; y++)
{
//说明该行有像素值（为了防止像素干扰，去噪后出现空白的问题，所以多判断一下，防止切割成多个)
if (rows[y] > 0 || (y + 1 < rows.Length && rows[y + 1] > 0))
{
if (top == 0)
{
//切下来图片的top坐标
top = y;
}
else
{
//切下来图片的bottom坐标
bottom = y;
}
}
else
{
//说明已经有切割图了，下面我们进行切割处理
if ((top > 0 || bottom > 0) && bottom - top > 0)
{
Crop corp = new Crop(new Rectangle(0, top, segb.Width, bottom - top + 1));
var small = corp.Apply(segb);
corplist.Add(small);
}
top = bottom = 0;
}
}
}
return(corplist);
}
//method that crops the rectangle part of the image and returns it as a bitmap image
public Bitmap CropImage()
{
//cropper that only crop the rectangle part
Crop cropper = new Crop(new Rectangle(132, 82, 118, 78));
// apply the filter
Bitmap croppedImg = cropper.Apply(preProcessImage);
return(croppedImg);
}
