Exemplo n.º 1
0
        /// <summary>
        /// 获得非极大值抑制后的图像
        /// </summary>
        /// <param name="Input"></param>
        /// <param name="Edges"></param>
        /// <param name="KernelSize"></param>
        /// <param name="Sigma"></param>
        public static void Suppression(Bitmap Input, out Bitmap Edges, int KernelSize, float Sigma)
        {
            ReadImage(Input);

            GenerateGaussianKernel(KernelSize, Sigma, out float[,] GaussianKernel);
            //高斯模糊处理
            _grayImage = ConvolutionFilter2D(_grayImage, _width, _height, GaussianKernel, KernelSize);

            //利用算子获得梯度与梯度方向数组
            Soble(_grayImage, _width, _height, out _gradient, out _angle);

            //非极大值抑制
            Suppression(_image.Width, _height, _gradient, _angle);

            Edges = new Bitmap(_width, _height);
            LockBitmap lockBitmap = new LockBitmap(Edges);

            lockBitmap.LockBits();
            for (int i = 0; i < _width; i++)
            {
                for (int j = 0; j < _height; j++)
                {
                    if (_gradient[i, j] > 255)
                    {
                        _gradient[i, j] = 255;
                    }
                    else if (_gradient[i, j] < 0)
                    {
                        _gradient[i, j] = 0;
                    }
                    lockBitmap.SetPixel(i, j, Color.FromArgb(_gradient[i, j], _gradient[i, j], _gradient[i, j]));
                }
            }
            lockBitmap.UnlockBits();
        }
Exemplo n.º 2
0
        /// <summary>
        /// 将灰度化的图像储存于grayImage中
        /// </summary>
        static void ReadImage(Bitmap image)
        {
            _image     = image;
            _width     = image.Width;
            _height    = image.Height;
            _grayImage = new int[image.Width, image.Height];
            LockBitmap lockBitmap = new LockBitmap(image);

            lockBitmap.LockBits();
            for (int i = 0; i < image.Width; i++)
            {
                for (int j = 0; j < image.Height; j++)
                {
                    _grayImage[i, j] = (int)(0.3 * lockBitmap.GetPixel(i, j).R + 0.59 * lockBitmap.GetPixel(i, j).G + 0.11 * lockBitmap.GetPixel(i, j).B);
                }
            }
            lockBitmap.UnlockBits();
        }
Exemplo n.º 3
0
        /// <summary>
        /// Canny检测
        /// </summary>
        /// <param name="Input"></param>
        /// <param name="Edges"></param>
        /// <param name="KernelSize"></param>
        /// <param name="Sigma"></param>
        /// <param name="ThrHigh"></param>
        /// <param name="ThrLow"></param>
        public static void DetectCannyEdges(Bitmap Input, out Bitmap Edges,
                                            int KernelSize, float Sigma,
                                            int ThrHigh, int ThrLow)
        {
            ReadImage(Input);

            GenerateGaussianKernel(KernelSize, Sigma, out float[,] GaussianKernel);
            //高斯模糊处理
            _grayImage = ConvolutionFilter2D(_grayImage, _width, _height, GaussianKernel, KernelSize);

            //利用算子获得梯度与梯度方向数组
            Soble(_grayImage, _width, _height, out _gradient, out _angle);

            //非极大值抑制
            Suppression(_image.Width, _height, _gradient, _angle);

            int[,] EdgesMap = new int[_width, _height];

            //双阈值检测与滞后处理
            HysterisisThresholding(_gradient, _width, _height, ThrHigh, ThrLow, ref EdgesMap);

            //获得处理后的图像
            Edges = new Bitmap(_width, _height);
            LockBitmap lockBitmap = new LockBitmap(Edges);

            lockBitmap.LockBits();
            for (int i = 0; i < _width; i++)
            {
                for (int j = 0; j < _height; j++)
                {
                    if (EdgesMap[i, j] == 1)
                    {
                        lockBitmap.SetPixel(i, j, System.Drawing.Color.White);
                    }
                    else
                    {
                        lockBitmap.SetPixel(i, j, System.Drawing.Color.Black);
                    }
                }
            }
            lockBitmap.UnlockBits();
        }
Exemplo n.º 4
0
        /// <summary>
        /// 获得高斯过滤后的图像
        /// </summary>
        /// <param name="Input"></param>
        /// <param name="Edges"></param>
        /// <param name="KernelSize"></param>
        /// <param name="Sigma"></param>
        public static void GaussianFilter(Bitmap Input, out Bitmap Edges, int KernelSize, float Sigma)
        {
            ReadImage(Input);

            GenerateGaussianKernel(KernelSize, Sigma, out float[,] GaussianKernel);
            //高斯模糊处理
            _grayImage = ConvolutionFilter2D(_grayImage, _width, _height, GaussianKernel, KernelSize);

            Edges = new Bitmap(_width, _height);
            LockBitmap lockBitmap = new LockBitmap(Edges);

            lockBitmap.LockBits();
            for (int i = 0; i < _width; i++)
            {
                for (int j = 0; j < _height; j++)
                {
                    lockBitmap.SetPixel(i, j, Color.FromArgb(_grayImage[i, j], _grayImage[i, j], _grayImage[i, j]));
                }
            }
            lockBitmap.UnlockBits();
        }