To .NET 5 (lot of refactoring)
[master-thesis.git] / Parasitemia / ParasitemiaCore / Granulometry.fs
1 module ParasitemiaCore.Granulometry
2
3 open System
4 open System.Drawing
5
6 open Emgu.CV
7 open Emgu.CV.Structure
8
9 open Utils
10
11 /// <summary>
12 /// Granulometry by closing on the image 'img' by testing circle structrual elements with radius range in 'range'.
13 /// </summary>
14 /// <param name="img"></param>
15 /// <param name="range">Minimum radius * maximum radius</param>
16 /// <param name="scale">le 1.0, to speed up the process.</param>
17 /// <param name="useOctagon"></param>
18 let findRadiusByClosing (img : Image<Gray, 'TDepth>) (range : int * int) (scale : float) (useOctagon : bool) : int =
19 use scaledImg = if scale = 1. then img else img.Resize (scale, CvEnum.Inter.Area)
20
21 let r1, r2 = range
22 let r1', r2' = roundInt (float r1 * scale), roundInt (float r2 * scale)
23
24 let patternSpectrum = Array.zeroCreate (r2' - r1')
25 let intensityImg = scaledImg.GetSum().Intensity
26
27 // 's' must be odd.
28 let octagon (s : int) : Matrix<byte> =
29 if s % 2 = 0 then failwith "s must be odd"
30 let m = new Matrix<byte> (Array2D.create s s 1uy)
31 let r = (float s) / (Math.Sqrt 2. + 2.) |> roundInt
32 for i = 0 to r - 1 do
33 for j = 0 to r - 1 do
34 if i + j < r then
35 m.[i, j] <- 0uy
36 m.[s - i - 1, j] <- 0uy
37 m.[i, s - j - 1] <- 0uy
38 m.[s - i - 1, s - j - 1] <- 0uy
39 m
40
41 let mutable previous_n = Double.NaN
42 for r = r1' to r2' do
43 let se =
44 if useOctagon then
45 (octagon (2 * r - 1)).Mat // It doesn't speed up the process.
46 else
47 CvInvoke.GetStructuringElement (CvEnum.ElementShape.Ellipse, Size (2 * r, 2 * r), Point (-1, -1))
48
49 use closed = scaledImg.MorphologyEx (CvEnum.MorphOp.Close, se, Point (-1, -1), 1, CvEnum.BorderType.Replicate, MCvScalar (0.0))
50
51 let n = closed.GetSum().Intensity
52
53 if not (Double.IsNaN previous_n) then
54 patternSpectrum.[r - r1' - 1] <- abs (n - previous_n)
55 previous_n <- n
56
57 let max, _ = patternSpectrum |> Array.indexed |> Array.fold (fun (iMax, sMax) (i, s) -> if s > sMax then (i, s) else (iMax, sMax)) (0, Double.MinValue)
58
59 float (max + r1') / scale |> roundInt
60
61 /// <summary>
62 /// Granulometry by area closing on the image 'img' by testing the circle area into the given radius range.
63 /// </summary>
64 let findRadiusByAreaClosing (img : Image<Gray, float32>) (radiusRange : int * int) : int =
65 let r1, r2 = radiusRange
66
67 if r1 > r2 then
68 failwithf "'radiusRange' invalid : %O" radiusRange
69
70 use imgCopy = img.Copy ()
71
72 let mutable maxDiff = 0.f
73 let mutable max_r = r1
74
75 Morpho.areaCloseFWithFun imgCopy [ for r in r1 .. r2 -> Math.PI * float r ** 2. |> roundInt, r ] (
76 fun r diff ->
77 if r <> r1 && diff > maxDiff then
78 maxDiff <- diff
79 max_r <- r - 1
80 )
81
82 max_r
83