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

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

diff --git a/Parasitemia/Parasitemia/KMeans.fs b/Parasitemia/Parasitemia/KMeans.fs
deleted file mode 100644 (file)
index 98352fe..0000000
--- a/Parasitemia/Parasitemia/KMeans.fs
+++ /dev/null
@@ -1,70 +0,0 @@
-module 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