Esempio n. 1
0
        static void Main(string[] args)
        {
            var metapath = ".\\..\\..\\..\\demo\\4.input.jpg.meta.json";

            var meta = Newtonsoft.Json.JsonConvert.DeserializeObject <OCR.Shared.ImageInfo>(File.ReadAllText(metapath));

            while (true)
            {
                var pos  = Console.ReadLine().Split(' ').Select(p => int.Parse(p)).ToArray();
                var rect = new OCR.Shared.Rect {
                    X = pos[0], Y = pos[1], W = pos[2], H = pos[3]
                };

                var filtered = meta.Words.Where(
                    p =>
                    p.GravityCenter.X >= rect.X && p.GravityCenter.X <= rect.X + rect.W && p.GravityCenter.Y >= rect.Y && p.GravityCenter.Y <= rect.Y + rect.H ||
                    p.GeometryCenter.X >= rect.X && p.GeometryCenter.X <= rect.X + rect.W && p.GeometryCenter.Y >= rect.Y && p.GeometryCenter.Y <= rect.Y + rect.H).ToArray();

                var newrect = new OCR.Shared.Rect {
                    X = filtered.Min(p => p.Position.X), Y = filtered.Min(p => p.Position.Y), W = 0, H = 0
                };

                foreach (var word in filtered)
                {
                    var width  = word.Position.X - newrect.X + word.Position.W;
                    var height = word.Position.Y - newrect.Y + word.Position.H;
                    if (newrect.W < width)
                    {
                        newrect.W = width;
                    }
                    if (newrect.H < height)
                    {
                        newrect.H = height;
                    }
                }

                var bytes = new byte[newrect.W * newrect.H];
                for (var i = 0; i < newrect.W * newrect.H; i++)
                {
                    bytes[i] = 0xFF;
                }

                foreach (var word in filtered)
                {
                    var offsetx = word.Position.X - newrect.X;
                    var offsety = word.Position.Y - newrect.Y;

                    for (var j = 0; j < word.Position.H; j++)
                    {
                        for (var i = 0; i < word.Position.W; i++)
                        {
                            var d = word.Data[j * word.Position.W + i];
                            if (d == 0xFF)
                            {
                                continue;
                            }

                            bytes[(offsety + j) * newrect.W + offsetx + i] = d;
                        }
                    }
                }

                var umbmp = UnmanagedImage.FromByteArray(bytes, newrect.W, newrect.H, System.Drawing.Imaging.PixelFormat.Format8bppIndexed);
                umbmp.ToManagedImage().Save(meta.FileName + "." + newrect.X + "." + newrect.Y + "." + newrect.W + "." + newrect.H + ".crop.jpg", System.Drawing.Imaging.ImageFormat.Png);
            }
        }
Esempio n. 2
0
        static void Process2(string fileName)
        {
            Console.WriteLine(fileName);

            var meta = new OCR.Shared.ImageInfo
            {
                FileName     = fileName,
                MaskName     = fileName + ".mask.png",
                FilteredName = fileName + ".filtered.png",
                Words        = new List <OCR.Shared.Blob>(),
                Areas        = new List <OCR.Shared.Rect>()
            };

            using (var img = System.Drawing.Image.FromFile(fileName))
                using (var bmp = new Bitmap(img))
                {
                    var gray = new FiltersSequence(Grayscale.CommonAlgorithms.BT709, new GaussianSharpen(), new ContrastCorrection(20))
                               .Apply(UnmanagedImage.FromManagedImage(bmp));
                    gray.ToManagedImage().Save(fileName + ".gray.png", System.Drawing.Imaging.ImageFormat.Png);

                    var bw = new FiltersSequence(new BradleyLocalThresholding {
                        PixelBrightnessDifferenceLimit = 0.20f
                    }, new Invert())
                             .Apply(gray);
                    bw.ToManagedImage().Save(fileName + ".bw.png", System.Drawing.Imaging.ImageFormat.Png);

                    var mask = new FiltersSequence(new Dilation(), new BlobsFiltering(5, 5, gray.Width / 2, gray.Height / 2, false))
                               .Apply(bw);
                    mask.ToManagedImage().Save(meta.MaskName, System.Drawing.Imaging.ImageFormat.Png);

                    {
                        var ccs     = new BlobCounter(mask).GetObjectsRectangles();
                        var sortedw = ccs.Select(p => p.Width).OrderBy(p => p).ToArray();
                        var sortedh = ccs.Select(p => p.Height).OrderBy(p => p).ToArray();

                        meta.MedianWordSize = new OCR.Shared.Point {
                            X = sortedw[sortedw.Length / 2], Y = sortedh[sortedh.Length / 2]
                        };

                        Console.WriteLine($"Median: {meta.MedianWordSize.X}, {meta.MedianWordSize.Y}");
                    }

                    var filtered = new FiltersSequence(new Invert(), new Intersect(mask), new Invert())
                                   .Apply(gray);

                    var filteredBmp = filtered.ToManagedImage();
                    filteredBmp.Save(meta.FilteredName, System.Drawing.Imaging.ImageFormat.Png);

                    var rgb = new GrayscaleToRGB().Apply(filtered);

                    mask = new FiltersSequence(new HorizontalRunLengthSmoothing(meta.MedianWordSize.X * 2), new VerticalRunLengthSmoothing(meta.MedianWordSize.Y * 2))
                           .Apply(mask);
                    mask.ToManagedImage().Save(fileName + ".area.png", System.Drawing.Imaging.ImageFormat.Png);

                    foreach (Rectangle rect in new BlobCounter(mask).GetObjectsRectangles())
                    {
                        Drawing.FillRectangle(mask, rect, Color.White);
                    }
                    mask.ToManagedImage().Save(fileName + ".rect.png", System.Drawing.Imaging.ImageFormat.Png);

                    foreach (Rectangle rect in new BlobCounter(mask).GetObjectsRectangles())
                    {
                        meta.Areas.Add(new OCR.Shared.Rect {
                            X = rect.X, Y = rect.Y, W = rect.Width, H = rect.Height
                        });
                        Drawing.Rectangle(rgb, rect, Color.Red);
                    }

                    new Intersect(mask).ApplyInPlace(bw);

                    foreach (var blob in new BlobCounter(bw).GetObjects(bw, false))
                    {
                        var outRect = new OCR.Shared.Rect {
                            X = blob.Rectangle.X - 1, Y = blob.Rectangle.Y - 1, W = blob.Rectangle.Width + 2, H = blob.Rectangle.Height + 2
                        };
                        if (outRect.X < 0)
                        {
                            outRect.X = 0; outRect.W--;
                        }
                        if (outRect.Y < 0)
                        {
                            outRect.Y = 0; outRect.H--;
                        }
                        if (outRect.X + outRect.W > bw.Width)
                        {
                            outRect.W = bw.Width - outRect.X;
                        }
                        if (outRect.Y + outRect.H > bw.Height)
                        {
                            outRect.H = bw.Height - outRect.Y;
                        }

                        var gravityCenter = new OCR.Shared.Point {
                            X = (int)blob.CenterOfGravity.X, Y = (int)blob.CenterOfGravity.Y
                        };
                        var geometryCenter = new OCR.Shared.Point {
                            X = blob.Rectangle.X + blob.Rectangle.Width / 2, Y = blob.Rectangle.Y + blob.Rectangle.Height / 2
                        };

                        var bytedata    = blob.Image.ToByteArray();
                        var newbytedata = new byte[outRect.W * outRect.H];
                        for (var j = 0; j < outRect.H - 2; j++)
                        {
                            for (var i = 0; i < outRect.W - 2; i++)
                            {
                                newbytedata[j * outRect.W + i + 1] = bytedata[j * (outRect.W - 2) + i];
                            }
                        }
                        var blobImg = new FiltersSequence(new Dilation()).Apply(UnmanagedImage.FromByteArray(newbytedata, outRect.W, outRect.H, System.Drawing.Imaging.PixelFormat.Format8bppIndexed));

                        var area = new Rectangle(outRect.X, outRect.Y, outRect.W, outRect.H);
                        Drawing.Rectangle(rgb, area, Color.Blue);

                        Drawing.FillRectangle(rgb, new Rectangle(geometryCenter.X - 2, geometryCenter.Y - 2, 5, 5), Color.Magenta);
                        Drawing.FillRectangle(rgb, new Rectangle(gravityCenter.X - 2, gravityCenter.Y - 2, 5, 5), Color.Cyan);

                        var bits = filteredBmp.LockBits(area, System.Drawing.Imaging.ImageLockMode.ReadOnly, System.Drawing.Imaging.PixelFormat.Format8bppIndexed);

                        meta.Words.Add(
                            new OCR.Shared.Blob
                        {
                            Id             = blob.ID,
                            Data           = new FiltersSequence(new Invert(), new Intersect(blobImg), new Invert()).Apply(new UnmanagedImage(bits)).ToByteArray(),
                            Position       = outRect,
                            GravityCenter  = gravityCenter,
                            GeometryCenter = geometryCenter
                        });

                        filteredBmp.UnlockBits(bits);
                    }



                    rgb.ToManagedImage().Save(fileName + ".marked.png", System.Drawing.Imaging.ImageFormat.Png);

                    File.WriteAllText(fileName + ".meta.json", Newtonsoft.Json.JsonConvert.SerializeObject(meta, Newtonsoft.Json.Formatting.Indented));
                }
        }