I am trying to increase my image detection class using lockbits, yet this cause problems with the code and thus it does not run. How can i go about using lockbits and getpixel at the same time in order to speed up image detection, or can someone show me an alternative which is just as fast?
code:
static IntPtr Iptr = IntPtr.Zero;
static BitmapData bitmapData = null;
static public byte[] Pixels { get; set; }
static public int Depth { get; private set; }
static public int Width { get; private set; }
static public int Height { get; private set; }
static public void LockBits(Bitmap source)
{
// Get width and height of bitmap
Width = source.Width;
Height = source.Height;
// get total locked pixels count
int PixelCount = Width * Height;
// Create rectangle to lock
Rectangle rect = new Rectangle(0, 0, Width, Height);
// get source bitmap pixel format size
Depth = System.Drawing.Bitmap.GetPixelFormatSize(source.PixelFormat);
// Lock bitmap and return bitmap data
bitmapData = source.LockBits(rect, ImageLockMode.ReadWrite,
source.PixelFormat);
// create byte array to copy pixel values
int step = Depth / 8;
Pixels = new byte[PixelCount * step];
Iptr = bitmapData.Scan0;
// Copy data from pointer to array
Marshal.Copy(Iptr, Pixels, 0, Pixels.Length);
}
static public bool SimilarColors(int R1, int G1, int B1, int R2, int G2, int B2, int Tolerance)
{
bool returnValue = true;
if (Math.Abs(R1 - R2) > Tolerance || Math.Abs(G1 - G2) > Tolerance || Math.Abs(B1 - B2) > Tolerance)
{
returnValue = false;
}
return returnValue;
}
public bool findImage(Bitmap small, Bitmap large, out Point location)
{
unsafe
{
LockBits(small);
LockBits(large);
//Loop through large images width
for (int largeX = 0; largeX < large.Width; largeX++)
{
//And height
for (int largeY = 0; largeY < large.Height; largeY++)
{
//Loop through the small width
for (int smallX = 0; smallX < small.Width; smallX++)
{
//And height
for (int smallY = 0; smallY < small.Height; smallY++)
{
//Get current pixels for both image
Color currentSmall = small.GetPixel(smallX, smallY);
Color currentLarge = large.GetPixel(largeX + smallX, largeY + smallY);
//If they dont match (i.e. the image is not there)
if (!colorsMatch(currentSmall, currentLarge))
//Goto the next pixel in the large image
goto nextLoop;
}
}
//If all the pixels match up, then return true and change Point location to the top left co-ordinates where it was found
location = new Point(largeX, largeY);
return true;
//Go to next pixel on large image
nextLoop:
continue;
}
}
//Return false if image is not found, and set an empty point
location = Point.Empty;
return false;
}
}
You wouldn’t want to rely on getPixel() for image processing; it’s okay to make an occasional call to get a point value (e.g. on mouseover), but in general it’s preferable to do image processing in image memory or in some 2D array that you can convert to a Bitmap when necessary.
To start, you might try writing a method that using LockBits/UnlockBits to extract an array that is convenient to manipulate. Once you’re done manipulating the array, you can write it back to a bitmap using a different LockBits/UnlockBits function.
Here’s some sample code I’ve used in the past. The first function returns a 1D array of values from a Bitmap. Since you know the bitmap’s width, you can convert this 1D array to a 2D array for further processing. Once you’re done processing, you can call the second function to convert the (modified) 1D array into a bitmap again.
These methods makes assumptions about the Bitmap pixel format that may not work for you, but I hope the general idea is clear: use LockBits/UnlockBits to extract an array of bytes from a Bitmap so that you can write and debug algorithms most easily, and then use LockBits/UnlockBits again to write the array to a Bitmap again.
For portability, I would recommend that your methods return the desired data types rather than manipulating global variables within the methods themselves.
If you’ve been using getPixel(), then converting to/from arrays as described above could speed up your code considerably for a small investment of coding effort.