Win8Metro(C#)数字图像处理--2.22二值图像膨胀

原文:Win8Metro(C#)数字图像处理--2.22二值图像膨胀



[函数名称]

二值图像膨胀函数DilationProcess(WriteableBitmap src)

[算法说明]

 膨胀算法也是属于形态学算法的范畴，前一节已经简单介绍了形态学，这里不再累赘。

 我们这里介绍的膨胀算法依旧采用上一节腐蚀中的结构元素S，则算法过程如下：

 用通俗的话讲就是，用结构元素作为模板在原始二值图像种平滑一遍，扫描图像的每一个像素，用结构元素中的每一个元素与其覆盖的二值图像做“或”操作(假设结构元素都为1)，如果结果为1，则二值图像中对应结构元素原点位置的像素值为1，否则为0。

[函数代码]

       ///<summary>

       /// Dilation process.

       ///</summary>

       ///<param name="src">The source image(It should be the binary image).</param>

       ///<returns></returns>

       publicstaticWriteableBitmap DilationProcess(WriteableBitmap src)////22图像膨胀运算

       {

           if (src !=null)

           {

               int w = src.PixelWidth;

               int h = src.PixelHeight;

               WriteableBitmap dilationImage =newWriteableBitmap(w, h);

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

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

               for (int j = 0; j < h; j++)

               {

                   for (int i = 0; i < w; i++)

                   {

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

                       {

                           temp[i * 4 + j * w * 4] = (byte)255;

                           temp[i * 4 + 1 + j * w * 4] = (byte)255;

                           temp[i * 4 + 2 + j * w * 4] = (byte)255;

                       }

                       else

                       {

                           if (tempMask[i * 4 - 4 + j * w * 4] == 255 || tempMask[i * 4 + j * w * 4] == 255 || tempMask[i * 4 + 4 + j * w * 4] == 255

                               || tempMask[i * 4 + (j - 1) * w * 4] == 255 || tempMask[i * 4 + (j + 1) * w * 4] == 255)

                           {

                               temp[i * 4 + j * w * 4] = (byte)255;

                               temp[i * 4 + 1 + j * w * 4] = (byte)255;

                               temp[i * 4 + 2 + j * w * 4] = (byte)255;

                           }

                           else

                           {

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

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

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

                           }

                       }

                   }

               }

               Stream sTemp = dilationImage.PixelBuffer.AsStream();

               sTemp.Seek(0, SeekOrigin.Begin);

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

               return dilationImage;

           }

           else

           {

               returnnull;

           }

       }

[图像效果]