Reputation: 1077
I copied the AForge-Sample from here: http://www.aforgenet.com/framework/features/template_matching.html And hoped, it would work with 2 Bitmaps as sources as in the following code:
Bitmap findTemplate (Bitmap sourceImage, Bitmap template)
{
// create template matching algorithm's instance
// (set similarity threshold to x.y%, 1.0f = 100%)
ExhaustiveTemplateMatching tm = new ExhaustiveTemplateMatching( 0.4f );
// find all matchings with specified above similarity
TemplateMatch[] matchings = tm.ProcessImage( sourceImage, template ); **// "Unsupported pixel format of the source or template image." as error message**
// highlight found matchings
BitmapData data = sourceImage.LockBits(
new Rectangle( 0, 0, sourceImage.Width, sourceImage.Height ),
ImageLockMode.ReadWrite, sourceImage.PixelFormat );
foreach ( TemplateMatch m in matchings )
{
AForge.Imaging.Drawing.Rectangle( data, m.Rectangle, System.Drawing.Color.White );
// do something else with matching
}
sourceImage.UnlockBits( data );
return sourceImage;
}
But when calling TemplateMatch[] matchings = tm.P.... it gives the error mentioned above. The template is generated this way:
Bitmap templatebitmap=(Bitmap)AForge.Imaging.Image.FromFile("template.jpg");
the source is generated with the kinect-webcam, where the PlanarImage is formatted as Bitmap (method copied from somewhere, but it was working up to now)
Bitmap PImageToBitmap(PlanarImage PImage)
{
Bitmap bmap = new Bitmap(
PImage.Width,
PImage.Height,
System.Drawing.Imaging.PixelFormat.Format32bppRgb);
BitmapData bmapdata = bmap.LockBits(
new Rectangle(0, 0, PImage.Width,
PImage.Height),
ImageLockMode.WriteOnly,
bmap.PixelFormat);
IntPtr ptr = bmapdata.Scan0;
Marshal.Copy(PImage.Bits,
0,
ptr,
PImage.Width *
PImage.BytesPerPixel *
PImage.Height);
bmap.UnlockBits(bmapdata);
return bmap;
}
So, is anbody able to help me, where my mistake might be? Or maybe anyone knows a better way to match a template with a Kinect? The overall job is to detect a known object with the kinect, in my case a rubberduck.
Thank you in advamce.
Upvotes: 3
Views: 12414
Reputation: 1077
So, I just implemented it myself. But it is so slow - so if anyone has an idea to improve, feel free to criticize my code:
public class Position
{
public int bestRow { get; set; }
public int bestCol { get; set; }
public double bestSAD { get; set; }
public Position(int row, int col, double sad)
{
bestRow = row;
bestCol = col;
bestSAD = sad;
}
}
Position element_position = new Position(0, 0, double.PositiveInfinity);
Position ownSearch(Bitmap search, Bitmap template) {
Position position = new Position(0,0,double.PositiveInfinity);
double minSAD = double.PositiveInfinity;
// loop through the search image
for (int x = 0; x <= search.PhysicalDimension.Width - template.PhysicalDimension.Width; x++)
{
for (int y = 0; y <= search.PhysicalDimension.Height - template.PhysicalDimension.Height; y++)
{
position_label2.Content = "Running: X=" + x + " Y=" + y;
double SAD = 0.0;
// loop through the template image
for (int i = 0; i < template.PhysicalDimension.Width; i++)
{
for (int j = 0; j < template.PhysicalDimension.Height; j++)
{
int r = Math.Abs(search.GetPixel(x + i, y + j).R - template.GetPixel(i, j).R);
int g = Math.Abs(search.GetPixel(x + i, y + j).G - template.GetPixel(i, j).G);
int b = Math.Abs(search.GetPixel(x + i, y + j).B - template.GetPixel(i, j).B);
int a = template.GetPixel(i, j).A;
SAD = SAD + ((r + g + b)*a/255 );
}
}
// save the best found position
if (minSAD > SAD)
{
minSAD = SAD;
// give me VALUE_MAX
position.bestRow = x;
position.bestCol = y;
position.bestSAD = SAD;
}
}
}
return position;
}
Upvotes: 0
Reputation: 395
here's the solution using AForge but it is slow take around 5 seconds but it works As usuall u need to introduce AForge framework download and install it. specify using AForge namespace
and copy paste to make it work
System.Drawing.Bitmap sourceImage = (Bitmap)Bitmap.FromFile(@"C:\SavedBMPs\1.jpg");
System.Drawing.Bitmap template = (Bitmap)Bitmap.FromFile(@"C:\SavedBMPs\2.jpg");
// create template matching algorithm's instance
// (set similarity threshold to 92.5%)
ExhaustiveTemplateMatching tm = new ExhaustiveTemplateMatching(0.921f);
// find all matchings with specified above similarity
TemplateMatch[] matchings = tm.ProcessImage(sourceImage, template);
// highlight found matchings
BitmapData data = sourceImage.LockBits(
new Rectangle(0, 0, sourceImage.Width, sourceImage.Height),
ImageLockMode.ReadWrite, sourceImage.PixelFormat);
foreach (TemplateMatch m in matchings)
{
Drawing.Rectangle(data, m.Rectangle, Color.White);
MessageBox.Show(m.Rectangle.Location.ToString());
// do something else with matching
}
sourceImage.UnlockBits(data);
Upvotes: 1