X-Git-Url: http://git.euphorik.ch/?a=blobdiff_plain;f=Parasitemia%2FParasitemiaCore%2FGranulometry.fs;h=004a25ead927f9c96bd70e76daefd47dbe11bb48;hb=1b8e45987bde692ab5602c281f878707f70459b7;hp=ed8bda6e439cfe24559e0d1664b38db5ac8f30f9;hpb=4bfa3cbdc6145e6944f02e24829ab2ef3a851ac1;p=master-thesis.git

diff --git a/Parasitemia/ParasitemiaCore/Granulometry.fs b/Parasitemia/ParasitemiaCore/Granulometry.fs
index ed8bda6..004a25e 100644
--- a/Parasitemia/ParasitemiaCore/Granulometry.fs
+++ b/Parasitemia/ParasitemiaCore/Granulometry.fs
@@ -1,6 +1,7 @@
 module ParasitemiaCore.Granulometry
 
 open System
+open System.IO
 open System.Drawing
 
 open Emgu.CV
@@ -8,9 +9,13 @@ open Emgu.CV.Structure
 
 open Utils
 
-// 'range': a minimum and maximum radius.
-// 'scale': <= 1.0, to speed up the process.
-let findRadiusByClosing (img: Image<Gray, 'TDepth>) (range: int * int) (scale: float) : int =
+/// <summary>
+/// Granulometry by closing on the image 'img' by testing circle structrual elements with radius range in 'range'.
+/// </summary>
+/// <param name="img"></param>
+/// <param name="range">Minimum radius * maximum radius</param>
+/// <param name="scale">le 1.0, to speed up the process.</param>
+let findRadiusByClosing (img: Image<Gray, 'TDepth>) (range: int * int) (scale: float) (useOctagon: bool) : int =
     use scaledImg = if scale = 1. then img else img.Resize(scale, CvEnum.Inter.Area)
 
     let r1, r2 = range
@@ -24,8 +29,8 @@ let findRadiusByClosing (img: Image<Gray, 'TDepth>) (range: int * int) (scale: f
         if s % 2 = 0 then failwith "s must be odd"
         let m = new Matrix<byte>(Array2D.create s s 1uy)
         let r = (float s) / (Math.Sqrt 2. + 2.) |> roundInt
-        for i in 0 .. r - 1 do
-            for j in 0 .. r - 1 do
+        for i = 0 to r - 1 do
+            for j = 0 to r - 1 do
                 if i + j < r
                 then
                     m.[i, j] <- 0uy
@@ -35,9 +40,10 @@ let findRadiusByClosing (img: Image<Gray, 'TDepth>) (range: int * int) (scale: f
         m
 
     let mutable previous_n = Double.NaN
-    for r in r1' .. r2' do
-        let se = CvInvoke.GetStructuringElement(CvEnum.ElementShape.Ellipse, Size(2 * r, 2 * r), Point(-1, -1))
-        //let se = octagon (2 * r - 1)
+    for r = r1' to r2' do
+        let se = if useOctagon
+                 then (octagon (2 * r - 1)).Mat // It doesn't speed up the process.
+                 else CvInvoke.GetStructuringElement(CvEnum.ElementShape.Ellipse, Size(2 * r, 2 * r), Point(-1, -1))
 
         use closed = scaledImg.MorphologyEx(CvEnum.MorphOp.Close, se, Point(-1, -1), 1, CvEnum.BorderType.Replicate, MCvScalar(0.0))
 
@@ -52,18 +58,24 @@ let findRadiusByClosing (img: Image<Gray, 'TDepth>) (range: int * int) (scale: f
 
     float (max + r1') / scale |> roundInt
 
-let findRadiusByAreaClosing (img: Image<Gray, float32>) (range: int * int) : int =
-    let r1, r2 = range
+/// <summary>
+/// Granulometry by area closing on the image 'img' by testing the circle area into the given radius range.
+/// </summary>
+let findRadiusByAreaClosing (img: Image<Gray, float32>) (radiusRange: int * int) : int =
+    let r1, r2 = radiusRange
+
+    if r1 > r2
+    then failwithf "'radiusRange' invalid : %A" radiusRange
 
     use imgCopy = img.Copy()
 
     let mutable maxDiff = 0.f
     let mutable max_r = r1
 
-    ImgTools.areaCloseFWithFun imgCopy [ for r in r1 .. r2 -> Math.PI * float r ** 2. |> roundInt, r ] (fun r diff ->
+    Morpho.areaCloseFWithFun imgCopy [ for r in r1 .. r2 -> Math.PI * float r ** 2. |> roundInt, r ] (fun r diff ->
         if r <> r1 && diff > maxDiff
         then
             maxDiff <- diff
-            max_r <- r - 1 )
+            max_r <- r - 1)
     max_r