Example #1
0
        public void Init(Bitmap src, int distancia, int deslocamento)
        {
            LockedBitmap FrameBuffer = new LockedBitmap(src);

            List <KMCPoint> Centroids = new List <KMCPoint>();

            Generate(ref Centroids, FrameBuffer, distancia, deslocamento);
            KMCPoint Mean = this.GetMean(FrameBuffer, Centroids);

            clusters.Add(new KMCFrame(FrameBuffer, Centroids, Mean));
        }
Example #2
0
        public KMCPoint GetMean(LockedBitmap FrameBuffer, List <KMCPoint> Centroids)
        {
            double Mean_X = 0, Mean_Y = 0;

            for (int Index = 0; Index < Centroids.Count(); Index++)
            {
                Mean_X += Centroids[Index].X / (double)Centroids.Count();
                Mean_Y += Centroids[Index].Y / (double)Centroids.Count();
            }

            int X = Convert.ToInt32(Mean_X);
            int Y = Convert.ToInt32(Mean_Y);

            FrameBuffer.LockBits();
            Color Clr = FrameBuffer.GetPixel(X, Y);

            FrameBuffer.UnlockBits();

            return(new KMCPoint(X, Y, Clr));
        }
Example #3
0
        public void Generate(ref List <KMCPoint> Centroids, LockedBitmap ImageFrame, int distancia, int deslocamento)
        {
            int Size = ImageFrame.Width * ImageFrame.Height;

            ImageFrame.LockBits();
            for (int IterCount = 0; IterCount < Size; IterCount++)
            {
                int Rand_X = rand.Next(0, ImageFrame.Width);
                int Rand_Y = rand.Next(0, ImageFrame.Height);

                KMCPoint RandPoint = new KMCPoint(Rand_X,
                                                  Rand_Y, ImageFrame.GetPixel(Rand_X, Rand_Y));

                if (!IsValidColor(Centroids, RandPoint, deslocamento) && !IsValidDistance(Centroids, RandPoint, distancia))
                {
                    if (!Centroids.Contains(RandPoint))
                    {
                        Centroids.Add(RandPoint);
                    }
                }
            }

            ImageFrame.UnlockBits();
        }
Example #4
0
        public void Compute(Bitmap InputFile, out Bitmap OutputFile)
        {
            m_Clusters.Init(InputFile, distancia, deslocamento);
            LockedBitmap ResultBitmap = new LockedBitmap(m_Clusters[0].Imagem.Width, m_Clusters[0].Imagem.Height);

            int FrameIndex = 0;

            for (int i = 0; i < m_Clusters.Count(); i++)
            {
                List <KMCPoint> Centroids = m_Clusters[i].Centroids.ToList();

                LockedBitmap FrameBuffer = new LockedBitmap(m_Clusters[i].Imagem.bitmap);
                FrameBuffer.LockBits();

                for (int j = 0; j < Centroids.Count(); j++)
                {
                    int Width  = FrameBuffer.Width;
                    int Height = FrameBuffer.Height;

                    LockedBitmap TargetFrame = new LockedBitmap(FrameBuffer.Width, FrameBuffer.Height);

                    TargetFrame.LockBits();

                    for (int y = 0; y < Width; y++)
                    {
                        for (int x = 0; x < Height; x++)
                        {
                            double OffsetClr = GetEuclClr(new KMCPoint(y, x, FrameBuffer.GetPixel(y, x)),
                                                          new KMCPoint(Centroids[j].X, Centroids[j].Y, Centroids[j].Clr));

                            if (OffsetClr <= 50)
                            {
                                TargetFrame.SetPixel(y, x, Centroids[j].Clr);
                            }

                            else
                            {
                                TargetFrame.SetPixel(y, x, Color.FromArgb(255, 255, 255));
                            }
                        }
                    }

                    TargetFrame.UnlockBits();

                    List <KMCPoint> Targetjs = new List <KMCPoint>();

                    Targetjs.Add(Centroids[0]);
                    KMCPoint Mean = m_Clusters.GetMean(TargetFrame, Targetjs);

                    if (Mean.X != m_Clusters[i].Centro.X && Mean.Y != m_Clusters[i].Centro.Y)
                    {
                        m_Clusters.Add(TargetFrame, Targetjs, Mean);
                    }

                    FrameIndex++;
                }

                FrameBuffer.UnlockBits();
            }

            ResultBitmap.LockBits();

            for (int Index = 0; Index < m_Clusters.Count(); Index++)
            {
                LockedBitmap FrameOut = new LockedBitmap(m_Clusters[Index].Imagem.bitmap);

                FrameOut.LockBits();

                int Width = FrameOut.Width, Height = FrameOut.Height;
                for (int y = 0; y < Width; y++)
                {
                    for (int x = 0; x < Height; x++)
                    {
                        if (FrameOut.GetPixel(y, x) != Color.FromArgb(255, 255, 255))
                        {
                            ResultBitmap.SetPixel(y, x, FrameOut.GetPixel(y, x));
                        }
                    }
                }

                FrameOut.UnlockBits();
            }

            ResultBitmap.UnlockBits();
            OutputFile = ResultBitmap.getBitMap();
        }
Example #5
0
 public KMCFrame(LockedBitmap imagem, List <KMCPoint> Centroids, KMCPoint centro)
 {
     this.imagem    = imagem;
     this.centroids = Centroids;
     this.centro    = centro;
 }
Example #6
0
 public void Add(LockedBitmap FrameImage, List <KMCPoint> Centroids, KMCPoint centro)
 {
     clusters.Add(new KMCFrame(FrameImage, Centroids, centro));
 }