public List<ImageRecord> QueryImage(string queryImagePath, object argument = null)
{
List<ImageRecord> rtnImageList = new List<ImageRecord>();
CEDD_Descriptor.CEDD cedd = new CEDD_Descriptor.CEDD();
int goodMatchDistance = 35;
if (argument != null && argument is Int32)
goodMatchDistance = (int)argument;
double[] queryCeddDiscriptor;
using (Bitmap bmp = new Bitmap(Image.FromFile(queryImagePath)))
{
queryCeddDiscriptor = cedd.Apply(bmp);
}
Stopwatch sw = Stopwatch.StartNew();
BKTree<CEDDTreeNode> ceddTree = null;
if (!CacheHelper.Get<BKTree<CEDDTreeNode>>("CeddIndexTree", out ceddTree))
{
CEDDRepository<BKTree<CEDDTreeNode>> repo = new CEDDRepository<BKTree<CEDDTreeNode>>();
ceddTree = repo.Load();
if (ceddTree == null)
throw new InvalidOperationException("Please index CEDD with BK-Tree before querying the Image");
CacheHelper.Add<BKTree<CEDDTreeNode>>(ceddTree, "CeddIndexTree");
}
sw.Stop();
Debug.WriteLine("Load tooked {0} ms", sw.ElapsedMilliseconds);
CEDDTreeNode queryNode = new CEDDTreeNode
{
Id = 0,
ImagePath = queryImagePath,
CEDDDiscriptor = queryCeddDiscriptor
};
sw.Reset(); sw.Start();
Dictionary<CEDDTreeNode, Int32> result = ceddTree.query(queryNode, goodMatchDistance);
sw.Stop();
Debug.WriteLine("Query tooked {0} ms", sw.ElapsedMilliseconds);
foreach (KeyValuePair<CEDDTreeNode, Int32> ceddNode in result)
{
ImageRecord rec = new ImageRecord
{
Id = ceddNode.Key.Id,
ImageName = ceddNode.Key.ImageName,
ImagePath = ceddNode.Key.ImagePath,
Distance = ceddNode.Value
};
rtnImageList.Add(rec);
}
rtnImageList = rtnImageList.OrderBy(x => x.Distance).ToList();
return rtnImageList;
}
/*
public static float[] calculateInputVector_SURFHist(Bitmap img)
{
// Resize and create integral image
int width = 300;
int height = (300 * img.Height) / img.Width;
IntegralImage iimg;
Console.WriteLine(width.ToString() + "x" + height.ToString()); // Debug
using (Bitmap resized = new Bitmap(width, height))
using(Graphics g = Graphics.FromImage(resized))
{
g.DrawImage(img, 0, 0, width, height);
iimg = IntegralImage.FromImage(resized);
}
// Extract the interest points
var ipts = FastHessian.getIpoints(0.0002f, 5, 2, iimg);
// Describe the interest points
SurfDescriptor.DecribeInterestPoints(ipts, false, false, iimg);
// Create global represesntation by histogram
int n = ipts.First().descriptorLength;
float[] resultArray = new float[n];
System.Threading.Tasks.Parallel.ForEach(ipts, currentElement =>
{
for (int i = 0; i < n; i++)
{
resultArray[i] += currentElement.descriptor[i];
}
});
// Debug
Console.WriteLine(ipts.Count.ToString());
foreach (float f in resultArray)
{
Console.Write(f.ToString() + " ");
}
Console.WriteLine();
return resultArray;
}
*/
/// <summary>
/// Citation : S. Α. Chatzichristofis and Y. S. Boutalis,
/// “CEDD: COLOR AND EDGE DIRECTIVITY DESCRIPTOR - A COMPACT DESCRIPTOR FOR IMAGE INDEXING AND RETRIEVAL.”
/// « 6th International Conference in advanced research on Computer Vision Systems ICVS 2008 »,
/// May 12 to May 15, 2008, Santorini, Greece
/// </summary>
/// <param name="img"></param>
/// <returns></returns>
public static float[] calculateCEDD(Bitmap img)
{
float[] result = new float[144];
CEDD_Descriptor.CEDD cedd = new CEDD_Descriptor.CEDD();
result = convertDoublesToFloats(cedd.Apply(img));
/*/ Debug
foreach (float c in result) Console.Write(c + " ");
Console.WriteLine("\n\n");
*/
return result;
}
public List <ImageRecord> QueryImage(string queryImagePath, object argument = null)
{
List <ImageRecord> rtnImageList = new List <ImageRecord>();
CEDD_Descriptor.CEDD cedd = new CEDD_Descriptor.CEDD();
int goodMatchDistance = 35;
if (argument != null && argument is Int32)
{
goodMatchDistance = (int)argument;
}
double[] queryCeddDiscriptor;
using (Bitmap bmp = new Bitmap(Image.FromFile(queryImagePath)))
{
queryCeddDiscriptor = cedd.Apply(bmp);
}
Stopwatch sw = Stopwatch.StartNew();
BinaryAlgoRepository <List <CEDDRecord> > repo = new BinaryAlgoRepository <List <CEDDRecord> >();
List <CEDDRecord> AllImage = (List <CEDDRecord>)repo.Load();
sw.Stop();
Debug.WriteLine("Load tooked {0} ms", sw.ElapsedMilliseconds);
sw.Reset(); sw.Start();
foreach (var imgInfo in AllImage)
{
double[] ceddDiscriptor = imgInfo.CEDDDiscriptor;
var dist = CEDD_Descriptor.CEDD.Compare(queryCeddDiscriptor, ceddDiscriptor);
if (dist < goodMatchDistance)
{
imgInfo.Distance = dist;
rtnImageList.Add(imgInfo);
}
}
sw.Stop();
Debug.WriteLine("Query tooked {0} ms", sw.ElapsedMilliseconds);
rtnImageList = rtnImageList.OrderBy(x => x.Distance).ToList();
return(rtnImageList);
}
public List<ImageRecord> QueryImage(string queryImagePath, object argument = null)
{
List<ImageRecord> rtnImageList = new List<ImageRecord>();
CEDD_Descriptor.CEDD cedd = new CEDD_Descriptor.CEDD();
int goodMatchDistance = 35;
if (argument != null && argument is Int32)
goodMatchDistance = (int)argument;
double[] queryCeddDiscriptor;
using (Bitmap bmp = new Bitmap(Image.FromFile(queryImagePath)))
{
queryCeddDiscriptor = cedd.Apply(bmp);
}
Stopwatch sw = Stopwatch.StartNew();
BinaryAlgoRepository<List<CEDDRecord>> repo = new BinaryAlgoRepository<List<CEDDRecord>>();
List<CEDDRecord> AllImage = (List<CEDDRecord>)repo.Load();
sw.Stop();
Debug.WriteLine("Load tooked {0} ms", sw.ElapsedMilliseconds);
sw.Reset(); sw.Start();
foreach (var imgInfo in AllImage)
{
double[] ceddDiscriptor = imgInfo.CEDDDiscriptor;
var dist = CEDD_Descriptor.CEDD.Compare(queryCeddDiscriptor, ceddDiscriptor);
if (dist < goodMatchDistance)
{
imgInfo.Distance = dist;
rtnImageList.Add(imgInfo);
}
}
sw.Stop();
Debug.WriteLine("Query tooked {0} ms", sw.ElapsedMilliseconds);
rtnImageList = rtnImageList.OrderBy(x => x.Distance).ToList();
return rtnImageList;
}
public List <ImageRecord> QueryImage(string queryImagePath, object argument = null)
{
List <ImageRecord> rtnImageList = new List <ImageRecord>();
CEDD_Descriptor.CEDD cedd = new CEDD_Descriptor.CEDD();
int goodMatchDistance = 35;
if (argument != null && argument is Int32)
{
goodMatchDistance = (int)argument;
}
double[] queryCeddDiscriptor;
using (Bitmap bmp = new Bitmap(Image.FromFile(queryImagePath)))
{
queryCeddDiscriptor = cedd.Apply(bmp);
}
Stopwatch sw = Stopwatch.StartNew();
BKTree <CEDDTreeNode> ceddTree = null;
if (!CacheHelper.Get <BKTree <CEDDTreeNode> >("CeddIndexTree", out ceddTree))
{
CEDDRepository <BKTree <CEDDTreeNode> > repo = new CEDDRepository <BKTree <CEDDTreeNode> >();
ceddTree = repo.Load();
if (ceddTree == null)
{
throw new InvalidOperationException("Please index CEDD with BK-Tree before querying the Image");
}
CacheHelper.Add <BKTree <CEDDTreeNode> >(ceddTree, "CeddIndexTree");
}
sw.Stop();
Debug.WriteLine("Load tooked {0} ms", sw.ElapsedMilliseconds);
CEDDTreeNode queryNode = new CEDDTreeNode
{
Id = 0,
ImagePath = queryImagePath,
CEDDDiscriptor = queryCeddDiscriptor
};
sw.Reset(); sw.Start();
Dictionary <CEDDTreeNode, Int32> result = ceddTree.query(queryNode, goodMatchDistance);
sw.Stop();
Debug.WriteLine("Query tooked {0} ms", sw.ElapsedMilliseconds);
foreach (KeyValuePair <CEDDTreeNode, Int32> ceddNode in result)
{
ImageRecord rec = new ImageRecord
{
Id = ceddNode.Key.Id,
ImageName = ceddNode.Key.ImageName,
ImagePath = ceddNode.Key.ImagePath,
Distance = ceddNode.Value
};
rtnImageList.Add(rec);
}
rtnImageList = rtnImageList.OrderBy(x => x.Distance).ToList();
return(rtnImageList);
}
public static double[] CalculateCEDDescriptor(Bitmap bitmap)
{
CEDD_Descriptor.CEDD CEDD = new CEDD_Descriptor.CEDD();
return CEDD.Apply(bitmap);
}
