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Win8Metro(C#)数字图像处理--2.12Sobel边缘检测

更新时间:2022-09-27 18:47:21

原文:Win8Metro(C#)数字图像处理--2.12Sobel边缘检测



[函数名称]

图像Sobel边缘检测函数SobelEdgeProcess(WriteableBitmap src)

Win8Metro(C#)数字图像处理--2.12Sobel边缘检测

[函数代码]

       ///<summary>

       /// Sobel edge detection.

       ///</summary>

       ///<param name="src">Source image.</param>

       ///<returns></returns>

       publicstaticWriteableBitmap SobelEdgeProcess(WriteableBitmap src)////12 Sobel边缘检测

       {

           if(src!=null )

           {

           int w = src.PixelWidth;

           int h = src.PixelHeight;

           WriteableBitmap sobelImage =newWriteableBitmap(w,h);

           byte[] temp = src.PixelBuffer.ToArray();

           byte[] tempMask = (byte[])temp.Clone();

           int b = 0, g = 0, r = 0;

           for (int j = 1; j < h - 1; j++)

           {

               for (int i = 4; i < w * 4 - 4; i += 4)

               {

                   if (i == 0 || i == w - 4 || j == 0 || j == h - 1)

                   {

                       temp[i + j * w * 4] = (byte)0;

                       temp[i + 1 + j * w * 4] = (byte)0;

                       temp[i + 2 + j * w * 4] = (byte)0;

                   }

                   else

                   {

                       b =Math.Abs(tempMask[i - 4 + (j - 1) * w * 4] + 2 * tempMask[i - 4 + j * w * 4] + tempMask[i - 4 + (j + 1) * w * 4] - tempMask[i + 4 + (j - 1) * w * 4]

                           - 2 * tempMask[i + 4 + j * w * 4] - tempMask[i + 4 + (j + 1) * w * 4]) + Math.Abs(tempMask[i - 4 + (j - 1) * w * 4] + 2 * tempMask[i + (j - 1) * w * 4]

                           + tempMask[i + 4 + (j - 1) * w * 4] - tempMask[i - 4 + (j + 1) * w * 4] - 2 * tempMask[i + (j + 1) * w * 4] - tempMask[i + 4 + (j + 1) * w * 4]);

                       g =Math.Abs(tempMask[i - 4 + 1 + (j - 1) * w * 4] + 2 * tempMask[i - 4 + 1 + j * w * 4] + tempMask[i - 4 + 1 + (j + 1) * w * 4] - tempMask[i + 4 + 1 + (j - 1) * w * 4]

                          - 2 * tempMask[i + 4 + 1 + j * w * 4] - tempMask[i + 4 + 1 + (j + 1) * w * 4]) +Math.Abs(tempMask[i - 4 + 1 + (j - 1) * w * 4] + 2 * tempMask[i + 1 + (j - 1) * w * 4]

                          + tempMask[i + 4 + 1 + (j - 1) * w * 4] - tempMask[i - 4 + 1 + (j + 1) * w * 4] - 2 * tempMask[i + 1 + (j + 1) * w * 4] - tempMask[i + 1 + 4 + (j + 1) * w * 4]);

                       r =Math.Abs(tempMask[i - 4 + 2 + (j - 1) * w * 4] + 2 * tempMask[i - 4 + 2 + j * w * 4] + tempMask[i - 4 + 2 + (j + 1) *w * 4] - tempMask[i + 4 + 2 + (j - 1) * w * 4]

                          - 2 * tempMask[i + 4 + 2 + j * w * 4] - tempMask[i + 4 + 2 + (j + 1) * w * 4]) +Math.Abs(tempMask[i - 4 + 2 + (j - 1) * w * 4] + 2 * tempMask[i + 2 + (j - 1) * w * 4]

                          + tempMask[i + 4 + 2 + (j - 1) * w * 4] - tempMask[i - 4 + 2 + (j + 1) * w * 4] - 2 * tempMask[i + 2 + (j + 1) * w * 4] - tempMask[i + 2 + 4 + (j + 1) * w * 4]);

                       temp[i + j * w * 4] = (byte)(b > 0 ? (b < 255 ? b : 255) : 0);

                       temp[i + 1 + j * w * 4] = (byte)(g > 0 ? (g < 255 ? g : 255) : 0);

                       temp[i + 2 + j * w * 4] = (byte)(r > 0 ? (r < 255 ? r : 255) : 0);

                   }

                   b = 0; g = 0; r = 0;

               }

           }

           Stream sTemp = sobelImage.PixelBuffer.AsStream();

           sTemp.Seek(0,SeekOrigin.Begin);

           sTemp.Write(temp, 0, w * 4 * h);

           return sobelImage;

           }

           else

           {

               returnnull;

           }  

       }

Win8Metro(C#)数字图像处理--2.12Sobel边缘检测