X-Git-Url: http://git.euphorik.ch/?p=master-thesis.git;a=blobdiff_plain;f=Parasitemia%2FParasitemia%2FMatchingEllipses.fs;h=92a767ad19d14907c890fc23315852853eb24af6;hp=8a1b4f8e89ffc26139e7024bc2cba1baad59ca32;hb=b070295cf67b2025164a34b6594e84f0d771cdc9;hpb=e76da913cd58078ad2479357b2430ed62a6e0777 diff --git a/Parasitemia/Parasitemia/MatchingEllipses.fs b/Parasitemia/Parasitemia/MatchingEllipses.fs index 8a1b4f8..92a767a 100644 --- a/Parasitemia/Parasitemia/MatchingEllipses.fs +++ b/Parasitemia/Parasitemia/MatchingEllipses.fs @@ -9,33 +9,43 @@ open Types open Utils +// Do not take in account matching score below this when two ellipses are matched. let matchingScoreThreshold1 = 0.6 -let matchingScoreThreshold2 = 1.0 + +// All ellipsee with a score below this is removed. +let matchingScoreThreshold2 = 1. / 50. type private EllipseScoreFlaggedKd (matchingScore: float, e: Ellipse) = let mutable matchingScore = matchingScore + let perimeter = e.Perimeter member this.Ellipse = e member this.MatchingScore = matchingScore + + // The score is proportional to the perimeter because large ellipse will receive more votes. member this.AddMatchingScore(score: float) = - matchingScore <- matchingScore + score + matchingScore <- matchingScore + score / perimeter member val Processed = false with get, set member val Removed = false with get, set - interface KdTree.I2DCoords with + interface KdTree.I2DCoords with member this.X = this.Ellipse.Cx member this.Y = this.Ellipse.Cy - + type MatchingEllipses (radiusMin: float) = let ellipses = List() - - member this.Add (e: Ellipse) = + + member this.Add (e: Ellipse) = ellipses.Add(EllipseScoreFlaggedKd(0.0, e)) member this.Ellipses : Ellipse list = + List.ofSeq ellipses |> List.map (fun e -> e.Ellipse) + + // Process all ellipses and return ellipses ordered from the best score to the worst. + member this.PrunedEllipses : Ellipse list = if ellipses.Count = 0 then [] @@ -43,13 +53,13 @@ type MatchingEllipses (radiusMin: float) = // 1) Create a kd-tree from the ellipses list. let tree = KdTree.Tree.BuildTree (List.ofSeq ellipses) - // 2) Compute the matching score of each ellipses. + // 2) Compute the matching score of each ellipses. let windowSize = radiusMin for e in ellipses do e.Processed <- true let areaE = e.Ellipse.Area let window = { KdTree.minX = e.Ellipse.Cx - windowSize / 2.0 - KdTree.maxX = e.Ellipse.Cx + windowSize / 2.0 + KdTree.maxX = e.Ellipse.Cx + windowSize / 2.0 KdTree.minY = e.Ellipse.Cy - windowSize / 2.0 KdTree.maxY = e.Ellipse.Cy + windowSize / 2.0 } for other in tree.Search window do @@ -68,7 +78,7 @@ type MatchingEllipses (radiusMin: float) = // 3) Sort ellipses by their score. ellipses.Sort(fun e1 e2 -> e2.MatchingScore.CompareTo(e1.MatchingScore)) - // 4) Remove ellipses wich have a low score. + // 4) Remove ellipses wich have a low score. let i = ellipses.BinarySearch(EllipseScoreFlaggedKd(matchingScoreThreshold2, Ellipse(0.0, 0.0, 0.0, 0.0, 0.0)), { new IComparer with member this.Compare(e1, e2) = e2.MatchingScore.CompareTo(e1.MatchingScore) }) |> abs @@ -84,18 +94,18 @@ type MatchingEllipses (radiusMin: float) = if not e.Removed then let window = { KdTree.minX = e.Ellipse.Cx - e.Ellipse.A - KdTree.maxX = e.Ellipse.Cx + e.Ellipse.A + KdTree.maxX = e.Ellipse.Cx + e.Ellipse.A KdTree.minY = e.Ellipse.Cy - e.Ellipse.A KdTree.maxY = e.Ellipse.Cy + e.Ellipse.A } for other in tree.Search window do if not other.Removed && other.MatchingScore < e.MatchingScore - then - if e.Ellipse.Contains other.Ellipse.Cx other.Ellipse.Cy + then + if e.Ellipse.Scale(0.8).Contains other.Ellipse.Cx other.Ellipse.Cy then other.Removed <- true ellipses.RemoveAll(fun e -> e.Removed) |> ignore List.ofSeq ellipses |> List.map (fun e -> e.Ellipse) - +