Use float32 to reduce memory footprint.
[master-thesis.git] / Parasitemia / Parasitemia / Classifier.fs
1 module Classifier
2
3 open System
4 open System.Collections.Generic
5 open System.Drawing
6
7 open Emgu.CV
8 open Emgu.CV.Structure
9
10 open Types
11 open Utils
12
13
14 type private EllipseFlaggedKd (e: Ellipse) =
15 inherit Ellipse (e.Cx, e.Cy, e.A, e.B, e.Alpha)
16
17 member val Removed = false with get, set
18
19 interface KdTree.I2DCoords with
20 member this.X = this.Cx
21 member this.Y = this.Cy
22
23
24 let findCells (ellipses: Ellipse list) (parasites: ParasitesMarker.Result) (img: Image<Gray, float32>) (config: Config.Config) : Cell list =
25 if ellipses.IsEmpty
26 then
27 []
28 else
29 let infection = parasites.infection.Copy() // To avoid to modify the parameter.
30
31 // This is the minimum window size to check if other ellipses touch 'e'.
32 let searchRegion (e: Ellipse) = { KdTree.minX = e.Cx - (e.A + config.RBCMaxRadius)
33 KdTree.maxX = e.Cx + (e.A + config.RBCMaxRadius)
34 KdTree.minY = e.Cy - (e.A + config.RBCMaxRadius)
35 KdTree.maxY = e.Cy + (e.A + config.RBCMaxRadius) }
36
37 // The minimum window to contain a given ellipse.
38 let ellipseWindow (e: Ellipse) =
39 let cx, cy = roundInt e.Cx, roundInt e.Cy
40 let a = int (e.A + 0.5f)
41 cx - a, cy - a, cx + a, cy + a
42
43 let w = img.Width
44 let w_f = float32 w
45 let h = img.Height
46 let h_f = float32 h
47
48 // Return 'true' if the point 'p' is owned by e.
49 // The lines represents all intersections with other ellipses.
50 let pixelOwnedByE (p: PointD) (e: Ellipse) (others: (Ellipse * Line) list) =
51 e.Contains p.X p.Y &&
52 seq {
53 let c = PointD(e.Cx, e.Cy)
54 for e', d1 in others do
55 let d2 = Utils.lineFromTwoPoints c p
56 let c' = PointD(e'.Cx, e'.Cy)
57 let v = pointFromTwoLines d1 (lineFromTwoPoints c c')
58 let case1 = sign (v.X - c.X) <> sign (v.X - c'.X) || Utils.squaredDistanceTwoPoints v c > Utils.squaredDistanceTwoPoints v c'
59 if d2.Valid
60 then
61 let p' = Utils.pointFromTwoLines d1 d2
62 // Yield 'false' when the point is owned by another ellipse.
63 if case1
64 then
65 yield sign (c.X - p.X) <> sign (c.X - p'.X) || Utils.squaredDistanceTwoPoints c p' > Utils.squaredDistanceTwoPoints c p
66 else
67 yield sign (c.X - p.X) = sign (c.X - p'.X) && Utils.squaredDistanceTwoPoints c p' < Utils.squaredDistanceTwoPoints c p
68 else
69 yield case1
70 } |> Seq.forall id
71
72 let ellipses = ellipses |> List.map EllipseFlaggedKd
73
74 // 1) Associate touching ellipses with each ellipses and remove ellipse with more than two intersections.
75 let tree = KdTree.Tree.BuildTree ellipses
76 let neighbors (e: EllipseFlaggedKd) : (EllipseFlaggedKd * PointD * PointD) list =
77 if not e.Removed
78 then
79 tree.Search (searchRegion e)
80 // We only keep the ellipses touching 'e'.
81 |> List.choose (fun otherE ->
82 if e <> otherE
83 then
84 match EEOver.EEOverlapArea e otherE with
85 | Some (_, px, _) when px.Length > 2 ->
86 otherE.Removed <- true
87 None
88 | Some (area, px, py) when area > 0.f && px.Length = 2 ->
89 Some (otherE, PointD(px.[0], py.[0]), PointD(px.[1], py.[1]))
90 | _ ->
91 None
92 else
93 None )
94 else
95 []
96
97 // We reverse the list to get the lower score ellipses first.
98 let ellipsesWithNeigbors = ellipses |> List.map (fun e -> e, neighbors e) |> List.rev
99
100
101 // 2) Remove ellipses touching the edges.
102 for e in ellipses do
103 if e.isOutside w_f h_f then e.Removed <- true
104
105 // 3) Remove ellipses with a high standard deviation (high contrast).
106
107 // CvInvoke.Normalize(img, img, 0.0, 255.0, CvEnum.NormType.MinMax) // Not needed.
108 let imgData = img.Data
109 let globalStdDeviation = MathNet.Numerics.Statistics.Statistics.StandardDeviation(seq {
110 for y in 0 .. h - 1 do
111 for x in 0 .. w - 1 do
112 yield float imgData.[y, x, 0] })
113
114 for e in ellipses do
115 if not e.Removed
116 then
117 let shrinkedE = e.Scale 0.9f
118 let minX, minY, maxX, maxY = ellipseWindow shrinkedE
119
120 let stdDeviation = MathNet.Numerics.Statistics.Statistics.StandardDeviation (seq {
121 for y in (if minY < 0 then 0 else minY) .. (if maxY >= h then h - 1 else maxY) do
122 for x in (if minX < 0 then 0 else minX) .. (if maxX >= w then w - 1 else maxX) do
123 if shrinkedE.Contains (float32 x) (float32 y)
124 then
125 yield float imgData.[y, x, 0] })
126
127 if stdDeviation > globalStdDeviation * config.Parameters.standardDeviationMaxRatio then
128 e.Removed <- true
129
130 // 4) Remove ellipses with little area.
131 let minArea = config.RBCMinArea
132 for e, neighbors in ellipsesWithNeigbors do
133 if not e.Removed
134 then
135 let minX, minY, maxX, maxY = ellipseWindow e
136
137 let mutable area = 0
138 for y in (if minY < 0 then 0 else minY) .. (if maxY >= h then h - 1 else maxY) do
139 for x in (if minX < 0 then 0 else minX) .. (if maxX >= w then w - 1 else maxX) do
140 let p = PointD(float32 x, float32 y)
141 if pixelOwnedByE p e (neighbors |> List.choose (fun (otherE, p1, p2) -> if otherE.Removed then None else Some (otherE :> Ellipse, Utils.lineFromTwoPoints p1 p2)))
142 then
143 area <- area + 1
144
145 if area < int minArea
146 then
147 e.Removed <- true
148
149 // 5) Define pixels associated to each ellipse and create the cells.
150 ellipsesWithNeigbors
151 |> List.choose (fun (e, neighbors) ->
152 if e.Removed
153 then
154 None
155 else
156 let minX, minY, maxX, maxY = ellipseWindow e
157
158 let infectedPixels = List<Point>()
159 let mutable stainPixels = 0
160 let mutable darkStainPixels = 0
161 let mutable nbElement = 0
162
163 let elements = new Matrix<byte>(maxY - minY + 1, maxX - minX + 1)
164 for y in minY .. maxY do
165 for x in minX .. maxX do
166 let p = PointD(float32 x, float32 y)
167 if pixelOwnedByE p e (neighbors |> List.choose (fun (otherE, p1, p2) -> if otherE.Removed then None else Some (otherE :> Ellipse, Utils.lineFromTwoPoints p1 p2)))
168 then
169 elements.[y-minY, x-minX] <- 1uy
170 nbElement <- nbElement + 1
171
172 if infection.Data.[y, x, 0] > 0uy
173 then
174 infectedPixels.Add(Point(x, y))
175
176 if parasites.stain.Data.[y, x, 0] > 0uy
177 then
178 stainPixels <- stainPixels + 1
179
180 if parasites.darkStain.Data.[y, x, 0] > 0uy
181 then
182 darkStainPixels <- darkStainPixels + 1
183
184 let cellClass =
185 if float darkStainPixels > config.Parameters.maxDarkStainRatio * (float nbElement) ||
186 float stainPixels > config.Parameters.maxStainRatio * (float nbElement)
187 then
188 Peculiar
189 elif infectedPixels.Count >= 1
190 then
191 let infectionToRemove = ImgTools.connectedComponents parasites.stain infectedPixels
192 for p in infectionToRemove do
193 infection.Data.[p.Y, p.X, 0] <- 0uy
194 InfectedRBC
195 else
196 HealthyRBC
197
198 Some { cellClass = cellClass
199 center = Point(roundInt e.Cx, roundInt e.Cy)
200 elements = elements })