我从这里复制了AForge-Sample: http://www.aforgenet.com/framework/features/template_matching.html 并希望,它可以使用2个位图作为源代码,如下面的代码:
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;
}
但是当调用TemplateMatch [] matchings = tm.P ....它会给出上面提到的错误。 模板以这种方式生成:
Bitmap templatebitmap=(Bitmap)AForge.Imaging.Image.FromFile("template.jpg");
使用kinect-webcam生成源代码,其中PlanarImage的格式为Bitmap(从某处复制的方法,但它一直在使用)
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;
}
那么,是否有人可以帮助我,我的错误可能在哪里? 或者也许有人知道更好的方法来匹配模板与Kinect? 整个工作是使用kinect检测已知对象,在我的例子中是一个橡皮打包。
谢谢你的推荐。
答案 0 :(得分:0)
所以,我自己实施了它。但它太慢 - 所以如果有人有改进的想法,请随意批评我的代码:
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;
}
答案 1 :(得分:0)
这是使用AForge的解决方案 但它很慢需要大约5秒,但它的工作原理 因为你需要引入AForge框架下载并安装它。 使用AForge命名空间
指定并复制粘贴以使其正常工作
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);