/// <summary>
/// Executes classification algorithm, after running the method you will have
/// a collection containing classified blobs.
/// </summary>
/// <param name="blobs">The blobs to classify.</param>
/// <returns>
/// A collection containing classified blobs.Collection size will be equal to blobs argument.
/// </returns>
public ICollection <ExtendedBlob> execute(ICollection <ExtendedBlob> blobs)
{
// Iterate over blobs and apply criteria.
foreach (ExtendedBlob singleBlob in blobs)
{
Rectangle r = singleBlob.Rectangle;
float ration = r.Height / r.Width;
int size = r.Height * r.Width;
if (size <= 25)
{
singleBlob.Class = Junk.GetInstance();
}
else if (size < 500) // Size criteria.
{
singleBlob.Class = Unknown.GetInstance();
}
// else if (ration > 5 && ration < 4) // Ratio criteria.
// {
// singleBlob.Class = ExtendedBlob.BlobClass.Unknown;
// }
else
{
singleBlob.Class = Person.GetInstance();
}
}
return(blobs);
}
/// <summary>
/// Merges blobs that are close to each other.
/// </summary>
/// <param name="value">The blobs found after running connected componenets algorithm.</param>
/// <returns></returns>
// private ArrayList<ExtendedBlob> mergeBlobs(ArrayList<ExtendedBlob> value)
// {
// /*
// * Using a very simple methology of merging.
// * Search all blobs that in close proximity of x pixels.
// */
// ICollection<ExtendedBlob> intermediateValues =
// new ArrayList<ExtendedBlob>(value.Count);
// int x = 10;
// ExtendedBlob closeToMe = value.RemoveAt(0);
// while(!value.IsEmpty)
// {
// for (int i = 0; i < value.Count; i++)
// {
// Rectangle mergeRectangle = closeToMe.Rectangle;
// mergeRectangle.Width += x;
// mergeRectangle.Height += x;
// if (mergeRectangle.IntersectsWith(value[i].Rectangle))
// {
//
// closeToMe
// intermediateValues.Add(value[i]);
// }
// }
// }
//
// }
/// <summary>
/// Runs the conected components algorithm.
/// </summary>
/// <param name="image">The image on which to run the algorithms.</param>
/// <returns></returns>
private List <ExtendedBlob> runConectedComponentsAlgorithm(Bitmap image)
{
blobCounter = new BlobCounter(image);
Blob[] blobs = blobCounter.GetObjects(image);
Rectangle[] rects = blobCounter.GetObjectRectangles();
List <ExtendedBlob> returnValue = new List <ExtendedBlob>(blobs.Length);
for (int i = 0; i < blobs.Length; i++)
{
// Use adapter method and convert blobs to extended blobs.
returnValue.Add(new ExtendedBlob(blobs[i], null, Unknown.GetInstance(), rects[i]));
}
return(returnValue);
}
