我只是对我的桌面进行了两次截图，几乎没有什么变化，并使用 win32 api 以编程方式比较两个图像。我的图像扩展名是 jpg，图像高度和宽度都是：- 高度：-768 宽度：- 1366。我使用秒表类只是为了查看我的例行程序花费了多少时间来获取差异图像并将其保存到桌面。我发现它需要 47 毫秒。有什么办法可以减少例行程序所花费的时间。这是我的常规代码。请查看我的例程并检查如何减少此例程所花费的时间。谢谢
private void button1_Click(object sender, EventArgs e)
{
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
Bitmap firstImg = new Bitmap(@"C:\Users\TRIDIP\Desktop\pic1.jpg");
Bitmap secondImg = new Bitmap(@"C:\Users\TRIDIP\Desktop\pic2.jpg");
Rectangle bounds = GetBoundingBoxForChanges(firstImg, secondImg);
if (bounds == Rectangle.Empty)
{
return;
}
Bitmap diff = new Bitmap(bounds.Width, bounds.Height);
Graphics g = Graphics.FromImage(diff);
g.DrawImage(secondImg, 0, 0, bounds, GraphicsUnit.Pixel);
g.Dispose();
stopwatch.Stop();
string strmm = string.Format("Time elapsed {0} {1} {2} {3}", stopwatch.Elapsed.Hours.ToString(), stopwatch.Elapsed.Minutes.ToString(), stopwatch.Elapsed.Seconds.ToString(), stopwatch.Elapsed.Milliseconds.ToString());
MessageBox.Show(strmm);
}
private Rectangle GetBoundingBoxForChanges(Bitmap _prevBitmap, Bitmap _newBitmap)
{
// The search algorithm starts by looking
// for the top and left bounds. The search
// starts in the upper-left corner and scans
// left to right and then top to bottom. It uses
// an adaptive approach on the pixels it
// searches. Another pass is looks for the
// lower and right bounds. The search starts
// in the lower-right corner and scans right
// to left and then bottom to top. Again, an
// adaptive approach on the search area is used.
//
// Note: The GetPixel member of the Bitmap class
// is too slow for this purpose. This is a good
// case of using unsafe code to access pointers
// to increase the speed.
//
// Validate the images are the same shape and type.
//
if (_prevBitmap.Width != _newBitmap.Width ||
_prevBitmap.Height != _newBitmap.Height ||
_prevBitmap.PixelFormat != _newBitmap.PixelFormat)
{
// Not the same shape...can't do the search.
//
return Rectangle.Empty;
}
// Init the search parameters.
//
int width = _newBitmap.Width;
int height = _newBitmap.Height;
int left = width;
int right = 0;
int top = height;
int bottom = 0;
BitmapData bmNewData = null;
BitmapData bmPrevData = null;
try
{
// Lock the bits into memory.
//
bmNewData = _newBitmap.LockBits(new Rectangle(0, 0, _newBitmap.Width, _newBitmap.Height), ImageLockMode.ReadOnly, PixelFormat.Format32bppArgb);
bmPrevData = _prevBitmap.LockBits(new Rectangle(0, 0, _prevBitmap.Width, _prevBitmap.Height), ImageLockMode.ReadOnly, PixelFormat.Format32bppArgb);
// The images are ARGB (4 bytes)
//
int numBytesPerPixel = 4;
// Get the number of integers (4 bytes) in each row
// of the image.
//
int strideNew = bmNewData.Stride / numBytesPerPixel;
int stridePrev = bmPrevData.Stride / numBytesPerPixel;
// Get a pointer to the first pixel.
//
// Note: Another speed up implemented is that I don't
// need the ARGB elements. I am only trying to detect
// change. So this algorithm reads the 4 bytes as an
// integer and compares the two numbers.
//
System.IntPtr scanNew0 = bmNewData.Scan0;
System.IntPtr scanPrev0 = bmPrevData.Scan0;
// Enter the unsafe code.
//
unsafe
{
// Cast the safe pointers into unsafe pointers.
//
int* pNew = (int*)(void*)scanNew0;
int* pPrev = (int*)(void*)scanPrev0;
// First Pass - Find the left and top bounds
// of the minimum bounding rectangle. Adapt the
// number of pixels scanned from left to right so
// we only scan up to the current bound. We also
// initialize the bottom & right. This helps optimize
// the second pass.
//
// For all rows of pixels (top to bottom)
//
for (int y = 0; y < _newBitmap.Height; ++y)
{
// For pixels up to the current bound (left to right)
//
for (int x = 0; x < left; ++x)
{
// Use pointer arithmetic to index the
// next pixel in this row.
//
if ((pNew + x)[0] != (pPrev + x)[0])
{
// Found a change.
//
if (x < left)
{
left = x;
}
if (x > right)
{
right = x;
}
if (y < top)
{
top = y;
}
if (y > bottom)
{
bottom = y;
}
}
}
// Move the pointers to the next row.
//
pNew += strideNew;
pPrev += stridePrev;
}
// If we did not find any changed pixels
// then no need to do a second pass.
//
if (left != width)
{
// Second Pass - The first pass found at
// least one different pixel and has set
// the left & top bounds. In addition, the
// right & bottom bounds have been initialized.
// Adapt the number of pixels scanned from right
// to left so we only scan up to the current bound.
// In addition, there is no need to scan past
// the top bound.
//
// Set the pointers to the first element of the
// bottom row.
//
pNew = (int*)(void*)scanNew0;
pPrev = (int*)(void*)scanPrev0;
pNew += (_newBitmap.Height - 1) * strideNew;
pPrev += (_prevBitmap.Height - 1) * stridePrev;
// For each row (bottom to top)
//
for (int y = _newBitmap.Height - 1; y > top; y--)
{
// For each column (right to left)
//
for (int x = _newBitmap.Width - 1; x > right; x--)
{
// Use pointer arithmetic to index the
// next pixel in this row.
//
if ((pNew + x)[0] != (pPrev + x)[0])
{
// Found a change.
//
if (x > right)
{
right = x;
}
if (y > bottom)
{
bottom = y;
}
}
}
// Move up one row.
//
pNew -= strideNew;
pPrev -= stridePrev;
}
}
}
}
catch (Exception ex)
{
int xxx = 0;
}
finally
{
// Unlock the bits of the image.
//
if (bmNewData != null)
{
_newBitmap.UnlockBits(bmNewData);
}
if (bmPrevData != null)
{
_prevBitmap.UnlockBits(bmPrevData);
}
}
// Validate we found a bounding box. If not
// return an empty rectangle.
//
int diffImgWidth = right - left + 1;
int diffImgHeight = bottom - top + 1;
if (diffImgHeight < 0 || diffImgWidth < 0)
{
// Nothing changed
return Rectangle.Empty;
}
// Return the bounding box.
//
return new Rectangle(left, top, diffImgWidth, diffImgHeight);
}