private void MatchByMaxDiff()
        {
            if (imageList.Count >= 2)
            {
                BitmapImage preImage = imageList[imageList.Count - 2];
                BitmapImage curImage = imageList[imageList.Count - 1];
                //获取上一次截图的像素点
                byte[] prePixels = new byte[(int)preImage.PixelWidth * (int)preImage.PixelHeight * preImage.Format.BitsPerPixel / 8];
                preImage.CopyPixels(prePixels, (int)(preImage.PixelWidth * preImage.Format.BitsPerPixel / 8), 0);
                //获取本次截图的像素点
                byte[] curPixels = new byte[(int)curImage.PixelWidth * (int)curImage.PixelHeight * curImage.Format.BitsPerPixel / 8];
                curImage.CopyPixels(curPixels, (int)(curImage.PixelWidth * curImage.Format.BitsPerPixel / 8), 0);

                int   matchRowCount    = 100;
                int[] diffVlaues       = new int[preImage.PixelWidth];
                int   pixbytes         = preImage.Format.BitsPerPixel / 8;
                int   oneRowBytesCount = preImage.PixelWidth * pixbytes;
                //行
                for (int i = 0; i < matchRowCount && i < preImage.PixelHeight - 1; i++)
                {
                    //列
                    for (int j = 0; j < preImage.PixelWidth; j++)
                    {
                        int startIndex = prePixels.Length - (i + 1) * oneRowBytesCount + j * pixbytes;
                        diffVlaues[j] += Math.Abs(prePixels[startIndex] - prePixels[startIndex - oneRowBytesCount])
                                         + Math.Abs(prePixels[startIndex + 1] - prePixels[startIndex + 1 - oneRowBytesCount])
                                         + Math.Abs(prePixels[startIndex + 2] - prePixels[startIndex + 2 - oneRowBytesCount]);
                    }
                }

                //寻找差异化最大的一列
                int         colIndex      = diffVlaues.ToList().IndexOf(diffVlaues.Max());
                List <byte> colValues     = new List <byte>();
                int         startRowIndex = preImage.PixelHeight > matchRowCount ? preImage.PixelHeight - matchRowCount : 0;
                for (int row = startRowIndex; row < preImage.PixelHeight; row++)
                {
                    int startIndex = row * oneRowBytesCount + colIndex * pixbytes;
                    colValues.Add(prePixels[startIndex]);
                    colValues.Add(prePixels[startIndex + 1]);
                    colValues.Add(prePixels[startIndex + 2]);
                }

                //对比差异化最大的一列
                List <byte> curColValues        = new List <byte>();
                int         curPixbytes         = curImage.Format.BitsPerPixel / 8;
                int         curOneRowBytesCount = curImage.PixelWidth * curPixbytes;
                for (int row = 0; row < curImage.PixelHeight; row++)
                {
                    int startIndex = row * curOneRowBytesCount + colIndex * curPixbytes;
                    curColValues.Add(curPixels[startIndex]);
                    curColValues.Add(curPixels[startIndex + 1]);
                    curColValues.Add(curPixels[startIndex + 2]);
                }
                bool isMatch    = false;
                int  matchRow   = 0;
                int  errorCount = 0;
                for (int i = errorCount * 3, j = 0; i < curColValues.Count - 2 && j < colValues.Count - 2; i += 3, j += 3)
                {
                    if (curColValues[i] == colValues[j] && curColValues[i + 1] == colValues[j + 1] && curColValues[i + 2] == colValues[j + 2])
                    {
                        if (j == colValues.Count - 3)
                        {
                            isMatch  = true;
                            matchRow = i / 3;
                            break;
                        }
                    }
                    else
                    {
                        i           = errorCount * 3;
                        errorCount += 1;
                        j           = -3;
                    }
                }
                if (isMatch)
                {
                    curPixels = curPixels.Skip((matchRow) * (int)preImage.PixelWidth * preImage.Format.BitsPerPixel / 8).ToArray();
                    WriteableBitmap bitmap = new WriteableBitmap(curImage.PixelWidth, curImage.PixelHeight - matchRow, 96, 96, curImage.Format, null);
                    bitmap.WritePixels(new Int32Rect(0, 0, bitmap.PixelWidth, bitmap.PixelHeight), curPixels, (int)curImage.PixelWidth * curImage.Format.BitsPerPixel / 8, 0);
                    imageList.Remove(curImage);
                    imageList.Add(ConvertHelper.ToBitmapImage(bitmap));
                }
            }
        }
        private void MatchByComparePix()
        {
            int matchedRow = 0;

            if (imageList.Count >= 2)
            {
                BitmapImage preImage = imageList[imageList.Count - 2];
                BitmapImage curImage = imageList[imageList.Count - 1];
                //获取上一次截图的像素点
                byte[] prePixels = new byte[(int)preImage.PixelWidth * (int)preImage.PixelHeight * preImage.Format.BitsPerPixel / 8];
                preImage.CopyPixels(prePixels, (int)(preImage.PixelWidth * preImage.Format.BitsPerPixel / 8), 0);
                //获取本次截图的像素点
                byte[] curPixels = new byte[(int)curImage.PixelWidth * (int)curImage.PixelHeight * curImage.Format.BitsPerPixel / 8];
                curImage.CopyPixels(curPixels, (int)(curImage.PixelWidth * curImage.Format.BitsPerPixel / 8), 0);
                bool isMatchAllCol = true;
                int  startRow      = curImage.PixelHeight / 3 * 2;
                for (; startRow >= 0; startRow--)
                {
                    int preRow = preImage.PixelHeight - 1;
                    int curRow = startRow;
                    isMatchAllCol = true;
                    int minNum = 10; int num = 0;
                    for (; num < 30 && preRow >= 0 && curRow >= 0; preRow--, curRow--, num++)
                    {
                        int col      = 0;
                        int difCount = 0;
                        for (; col < preImage.PixelWidth; col += 2)
                        {
                            int preIndex = preRow * curImage.PixelWidth * curImage.Format.BitsPerPixel / 8 + col * curImage.Format.BitsPerPixel / 8;
                            int curIndex = curRow * curImage.PixelWidth * curImage.Format.BitsPerPixel / 8 + col * curImage.Format.BitsPerPixel / 8;
                            if (prePixels[preIndex] != curPixels[curIndex] || prePixels[preIndex + 1] != curPixels[curIndex + 1] || prePixels[preIndex + 2] != curPixels[curIndex + 2])
                            {
                                difCount++;
                                if (difCount > 10)
                                {
                                    isMatchAllCol = false;
                                    break;
                                }
                            }
                        }
                        if (!isMatchAllCol)
                        {
                            break;
                        }
                    }
                    if (isMatchAllCol)
                    {
                        if (num < minNum)
                        {
                            isMatchAllCol = false;
                        }
                        break;
                    }
                }
                if (isMatchAllCol)
                {
                    matchedRow = startRow;
                    curPixels  = curPixels.Skip((matchedRow + 1) * (int)preImage.PixelWidth * preImage.Format.BitsPerPixel / 8).ToArray();
                    WriteableBitmap bitmap = new WriteableBitmap(curImage.PixelWidth, curImage.PixelHeight - startRow - 1, 96, 96, curImage.Format, null);
                    bitmap.WritePixels(new Int32Rect(0, 0, bitmap.PixelWidth, bitmap.PixelHeight), curPixels, (int)curImage.PixelWidth * curImage.Format.BitsPerPixel / 8, 0);

                    imageList.Remove(curImage);
                    imageList.Add(ConvertHelper.ToBitmapImage(bitmap));
                }
            }
        }