Add a logger assembly and split the main assembly in two : the UI and the parasitemia...

[master-thesis.git] / Parasitemia / ParasitemiaCore / KMeans.fs

diff --git a/Parasitemia/ParasitemiaCore/KMeans.fs b/Parasitemia/ParasitemiaCore/KMeans.fs
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+++ b/Parasitemia/ParasitemiaCore/KMeans.fs
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+module ParasitemiaCore.KMeans
+
+open System.Collections.Generic
+open System.Drawing
+
+open Emgu.CV
+open Emgu.CV.Structure
+
+type Result = {
+    fg: Image<Gray, byte>
+    mean_bg: float32
+    mean_fg: float32
+    d_fg: Image<Gray, float32> } // Euclidean distances of the foreground to mean_fg.
+
+let kmeans (img: Image<Gray, float32>) : Result =
+    let nbIteration = 4
+    let w = img.Width
+    let h = img.Height
+
+    let min = ref [| 0.0 |]
+    let minLocation = ref <| [| Point() |]
+    let max = ref [| 0.0 |]
+    let maxLocation = ref <| [| Point() |]
+    img.MinMax(min, max, minLocation, maxLocation)
+
+    let minf = float32 (!min).[0]
+    let maxf = float32 (!max).[0]
+
+    let mutable mean_bg = maxf - (maxf - minf) / 4.f
+    let mutable mean_fg = minf + (maxf - minf) / 4.f
+    use mutable d_bg : Image<Gray, float32> = null
+    let mutable d_fg : Image<Gray, float32> = null
+    let fg = new Image<Gray, byte>(img.Size)
+
+    let imgData = img.Data
+    let fgData = fg.Data
+
+    for i in 1 .. nbIteration do
+        match d_bg with
+        | null -> ()
+        | _ ->
+            d_bg.Dispose()
+            d_fg.Dispose()
+
+        // EmGu doesn't import the in-place version of 'AbsDiff' so we have to create two images for each iteration.
+        d_bg <- img.AbsDiff(Gray(float mean_bg))
+        d_fg <- img.AbsDiff(Gray(float mean_fg))
+
+        CvInvoke.Compare(d_fg, d_bg, fg, CvEnum.CmpType.LessThan)
+
+        let mutable bg_total = 0.f
+        let mutable bg_nb = 0
+
+        let mutable fg_total = 0.f
+        let mutable fg_nb = 0
+
+        for i in 0 .. h - 1 do
+            for j in 0 .. w - 1 do
+                if fgData.[i, j, 0] > 0uy
+                then
+                    fg_total <- fg_total + imgData.[i, j, 0]
+                    fg_nb <- fg_nb + 1
+                else
+                    bg_total <- bg_total + imgData.[i, j, 0]
+                    bg_nb <- bg_nb + 1
+
+        mean_bg <- bg_total / float32 bg_nb
+        mean_fg <- fg_total / float32 fg_nb
+
+    { fg = fg; mean_bg = mean_bg; mean_fg = mean_fg; d_fg = d_fg }
\ No newline at end of file