Cleaning syntax.

[master-thesis.git] / Parasitemia / ParasitemiaCore / ImgTools / Otsu.fs

diff --git a/Parasitemia/ParasitemiaCore/ImgTools/Otsu.fs b/Parasitemia/ParasitemiaCore/ImgTools/Otsu.fs
index 6b8ee53..8d976ff 100644 (file)
--- a/Parasitemia/ParasitemiaCore/ImgTools/Otsu.fs
+++ b/Parasitemia/ParasitemiaCore/ImgTools/Otsu.fs
@@ -2,33 +2,30 @@
 
 open Histogram
 
-let otsu (hist: Histogram) : float32 * float32 * float32 =
+let otsu (hist : Histogram) : float32 * float32 * float32 =
     let mutable sumB = 0
     let mutable wB = 0
     let mutable maximum = 0.0
     let mutable level = 0
     let sum = hist.data |> Array.mapi (fun i v -> i * v |> float) |> Array.sum
 
-    for i in 0 .. hist.data.Length - 1 do
+    for i = 0 to hist.data.Length - 1 do
         wB <- wB + hist.data.[i]
-        if wB <> 0
-        then
+        if wB <> 0 then
             let wF = hist.total - wB
-            if wF <> 0
-            then
+            if wF <> 0 then
                 sumB <- sumB + i * hist.data.[i]
                 let mB = (float sumB) / (float wB)
                 let mF = (sum - float sumB) / (float wF)
                 let between = (float wB) * (float wF) * (mB - mF) ** 2.;
-                if between >= maximum
-                then
+                if between >= maximum then
                     level <- i
                     maximum <- between
 
     let mean1 =
         let mutable sum = 0
         let mutable nb = 0
-        for i in 0 .. level - 1 do
+        for i = 0 to level - 1 do
             sum <- sum + i * hist.data.[i]
             nb <- nb + hist.data.[i]
         (sum + level * hist.data.[level] / 2) / (nb + hist.data.[level] / 2)
@@ -36,7 +33,7 @@ let otsu (hist: Histogram) : float32 * float32 * float32 =
     let mean2 =
         let mutable sum = 0
         let mutable nb = 0
-        for i in level + 1 .. hist.data.Length - 1 do
+        for i = level + 1 to hist.data.Length - 1 do
             sum <- sum + i * hist.data.[i]
             nb <- nb + hist.data.[i]
         (sum + level * hist.data.[level] / 2) / (nb + hist.data.[level] / 2)