Reputation: 187
I'm having my thesis "Multiple Choice Examination Checker" and I'm having a big issue about what to do with my problem. I got a picture image (a bitmap specifically) here it is, so you can see:
This is the image with the detectedbox, I will describe this:
Here is some of my code, which contains the sorting of boxes.
List<PointF> center = new List<PointF>();
List<PointF> centernew = new List<PointF>();
foreach (MCvBox2D box in lstRectangles)
{
// this code transfers every center-coordinates of detected boxes
// to a new list which is center
center.Add(new PointF(box.center.X, box.center.Y));
}
// and this one sorts the coordinates in ascending order.
centernew = center.OrderBy(p => p.Y).ThenBy(p => p.X).ToList();
I'm done with the sorting part, now my problem is, since there many detected boxes in every box from the image, I would like to group the sortedlist of center-coordinates, so I could eliminate the other detectedboxes and get only one detectedbox for each number.
I know it's hard to understand so I'll explain more.
Let's say my sortedlist of detectedboxes contains first five center-coordinates which are:
let's say this are the center-coordinates of each of the detectedboxes from first box of the image.
center[0] = [ 45.39, 47.6]
center[1] = [ 65.39, 47.6]
center[2] = [ 45.40, 47.10]
center[3] = [ 65.45, 47.25]
center[4] = [ 46.01, 47.50]
and the 2nd are:
center[5] = [ 200.39, 47.2]
center[6] = [ 45.39, 47.2]
center[7] = [ 45.39, 47.3]
center[8] = [ 45.39, 47.55]
Upvotes: 2
Views: 2618
Reputation: 2226
You could use Distinct with an custom IEqualityComparer (see MSDN).
As an example, define a class:
class BoxEqualityComparer : IEqualityComparer<MCvBox2D>
{
private static Double Tolerance = 0.01; //set your tolerance here
public Boolean Equals(MCvBox2D b1, MCvBox2D b2)
{
if (CentersAreCloseEnough(b1.Center, b2.Center))
{
return true;
}
else
{
return false;
}
}
private Boolean CentersAreCloseEnough(PointF c1, PointF c2)
{
return Math.Abs(c1.X - c2.X) < Tolerance && Math.Abs(c1.Y - c2.Y) < Tolerance;
}
}
then use the method in your code like so:
var distinctRectangles = lstRectangles.Distinct(new BoxEqualityComparer());
You are free to implement CentersAreCloseEnough(PointF c1, PointF c2)
however you would like; you could use vector distance, absolute distance in x and y, etc.
Upvotes: 1
Reputation: 26398
var rand = new Random();
var threshold = 1;
var points = new List<PointF>();
for (int i = 0; i < 20; i++)
{
points.Add(new PointF((float) rand.NextDouble()*10, (float) rand.NextDouble()*10));
}
Console.WriteLine(points.Count);
for (int i = 0; i < points.Count(); i++)
{
for (int j = i + 1; j < points.Count(); )
{
var pointHere = points[i];
var pointThere = points[j];
var vectorX = pointThere.X - pointHere.X;
var vectorY = pointThere.Y - pointHere.Y;
var length = Math.Sqrt(Math.Pow(vectorX, 2) + Math.Pow(vectorY, 2));
if (length <= threshold)
{
points.RemoveAt(j);
}
else
{
j += 1;
}
}
}
Console.WriteLine(points.Count);
Upvotes: 2
Reputation: 19496
You can calculate the distance between a given point and any other point in the list. If the distance is less than half the width of a box, you can be pretty sure that it's part of the same box.
double threshold = 3.0; // Make this whatever is appropriate
for (int i = center.Count - 1; i >= 0; --i)
if (center.Any(p => p != center[i] && Distance(center[i], p) < threshold))
center.Remove(center[i]);
And you could use this for your Distance()
method:
private double Distance(PointF p1, PointF p2)
{
double deltaX = Math.Abs(p1.X - p2.X);
double deltaY = Math.Abs(p1.Y - p2.Y);
return Math.Sqrt((deltaX * deltaX) + (deltaY * deltaY));
}
Upvotes: 1
Reputation: 609
If you are just concerned about positions with Y coordinates, just sort by that number. If you want to sort both you can add both X and Y and use that number to sort them. Here is an example of what I meen.
for(int i = 0; i < points.length - 1; i++)
{
int temp = points[i].x + points[i].y;
for(int j = i+1; j < points.length; i++)
{
int temp2 = point[j].x + points[j].y;
if(temp2 < temp)
{
Point jugglePoint = points[i];
points[i] = points[j];
points[j] = jugglePoint;
}
}
}
Upvotes: -1