X-Git-Url: http://git.euphorik.ch/?a=blobdiff_plain;f=Parasitemia%2FParasitemiaCore%2FImgTools%2FHistogram.fs;h=df1ecb651cf4e76be6cef23e07864435c8a92884;hb=b87b35b922551f122228df1fd9c530bbb807935a;hp=92b73f613b13751cbbae2855d4b63f23145e7752;hpb=3f8b0d281b3058faf23dbd0363de440bd04c6574;p=master-thesis.git

diff --git a/Parasitemia/ParasitemiaCore/ImgTools/Histogram.fs b/Parasitemia/ParasitemiaCore/ImgTools/Histogram.fs
index 92b73f6..df1ecb6 100644
--- a/Parasitemia/ParasitemiaCore/ImgTools/Histogram.fs
+++ b/Parasitemia/ParasitemiaCore/ImgTools/Histogram.fs
@@ -6,14 +6,16 @@ open System.Drawing
 open Emgu.CV
 open Emgu.CV.Structure
 
-type Histogram = {
-    data: int[]
-    total: int // Number of elements.
-    sum: int // Sum of all intensity.
-    min: float32
-    max: float32 }
-
-let histogramImg (img: Image<Gray, float32>) (nbSamples: int) : Histogram =
+type Histogram =
+    {
+        data : int[]
+        total : int // Number of elements.
+        sum : int // Sum of all intensity.
+        min : float32
+        max : float32
+    }
+
+let histogramImg (img : Image<Gray, float32>) (nbSamples : int) : Histogram =
     let imgData = img.Data
 
     let min, max =
@@ -24,20 +26,20 @@ let histogramImg (img: Image<Gray, float32>) (nbSamples: int) : Histogram =
         img.MinMax(min, max, minLocation, maxLocation)
         float32 (!min).[0], float32 (!max).[0]
 
-    let inline bin (x: float32) : int =
+    let inline bin (x : float32) : int =
         let p = int ((x - min) / (max - min) * float32 nbSamples)
         if p >= nbSamples then nbSamples - 1 else p
 
     let data = Array.zeroCreate nbSamples
 
-    for i in 0 .. img.Height - 1 do
-        for j in 0 .. img.Width - 1 do
+    for i = 0 to img.Height - 1 do
+        for j = 0 to img.Width - 1 do
             let p = bin imgData.[i, j, 0]
             data.[p] <- data.[p] + 1
 
     { data = data; total = img.Height * img.Width; sum = Array.sum data; min = min; max = max }
 
-let histogramMat (mat: Matrix<float32>) (nbSamples: int) : Histogram =
+let histogramMat (mat : Matrix<float32>) (nbSamples : int) : Histogram =
     let matData = mat.Data
 
     let min, max =
@@ -48,20 +50,20 @@ let histogramMat (mat: Matrix<float32>) (nbSamples: int) : Histogram =
         mat.MinMax(min, max, minLocation, maxLocation)
         float32 !min, float32 !max
 
-    let inline bin (x: float32) : int =
+    let inline bin (x : float32) : int =
         let p = int ((x - min) / (max - min) * float32 nbSamples)
         if p >= nbSamples then nbSamples - 1 else p
 
     let data = Array.zeroCreate nbSamples
 
-    for i in 0 .. mat.Height - 1 do
-        for j in 0 .. mat.Width - 1 do
+    for i = 0 to mat.Height - 1 do
+        for j = 0 to mat.Width - 1 do
             let p = bin matData.[i, j]
             data.[p] <- data.[p] + 1
 
     { data = data; total = mat.Height * mat.Width; sum = Array.sum data; min = min; max = max }
 
-let histogram (values: float32 seq) (nbSamples: int) : Histogram =
+let histogram (values : float32 seq) (nbSamples : int) : Histogram =
     let mutable min = Single.MaxValue
     let mutable max = Single.MinValue
     let mutable n = 0
@@ -71,7 +73,7 @@ let histogram (values: float32 seq) (nbSamples: int) : Histogram =
         if v < min then min <- v
         if v > max then max <- v
 
-    let inline bin (x: float32) : int =
+    let inline bin (x : float32) : int =
         let p = int ((x - min) / (max - min) * float32 nbSamples)
         if p >= nbSamples then nbSamples - 1 else p