Change the way the parasites are detected.
[master-thesis.git] / Parasitemia / Parasitemia / ParasitesMarker2.fs
1 module ParasitesMarker2
2
3 open System.Drawing
4 open System.Linq
5
6 open Emgu.CV
7 open Emgu.CV.Structure
8
9 open Utils
10
11 type Result = {
12 darkStain: Image<Gray, byte>
13 infection: Image<Gray, byte>
14 stain: Image<Gray, byte> }
15
16 // Create three binary markers :
17 // * 'Dark stain' corresponds to the colored pixel, it's independent of the size of the areas.
18 // * 'Stain' corresponds to the stain around the parasites.
19 // * 'Infection' corresponds to the parasite. It shouldn't contain thrombocytes.
20 let find (filteredGreen: Image<Gray, byte>) (filteredGreenFloat: Image<Gray, float32>) (config: Config.Config) : Result * Image<Gray, byte> * Image<Gray, byte> =
21
22 let filteredGreenWithoutInfection = filteredGreen.Copy()
23 ImgTools.areaClose filteredGreenWithoutInfection (int config.InfectionArea)
24
25 let filteredGreenWithoutStain = filteredGreenWithoutInfection.Copy()
26 ImgTools.areaClose filteredGreenWithoutStain (int config.StainArea)
27
28 // We use the filtered image to find the dark stain.
29 let kmediansResults = logTime "Finding fg/bg (k-medians)" (fun () -> KMedians.kmedians (filteredGreenWithoutInfection.Convert<Gray, float32>()) 1.0) // FIXME: avoid converting again this in MainAnalysis
30 let { KMedians.fg = fg; KMedians.median_bg = median_bg; KMedians.median_fg = median_fg; KMedians.d_fg = d_fg } = kmediansResults
31 let darkStain = d_fg.Cmp(median_bg * config.Parameters.darkStainLevel, CvEnum.CmpType.GreaterThan)
32 darkStain._And(filteredGreenWithoutInfection.Cmp(median_fg, CvEnum.CmpType.LessThan))
33
34 let marker (img: Image<Gray, byte>) (closed: Image<Gray, byte>) (level: float) : Image<Gray, byte> =
35 let diff = closed - img
36
37 let min = ref [| 0. |]
38 let minLocation = ref <| [| Point() |]
39 let max = ref [| 0. |]
40 let maxLocation = ref <| [| Point() |]
41 diff.MinMax(min, max, minLocation, maxLocation)
42 let max = (!max).[0]
43
44 let threshold = 0.2 * max
45 let diff' = diff - threshold
46
47 let m = MathNet.Numerics.Statistics.StreamingStatistics.Mean(seq {
48 for m in ImgTools.findMaxima diff' do
49 let p = m.First()
50 yield diff'.Data.[p.Y, p.X, 0] |> float }) + threshold
51
52 let valueThreshold = m * level
53
54 diff._ThresholdBinary(Gray(valueThreshold), Gray(255.))
55 diff
56
57 let infectionMarker = marker filteredGreen filteredGreenWithoutInfection config.Parameters.infectionLevel
58 let stainMarker = marker filteredGreenWithoutInfection filteredGreenWithoutStain config.Parameters.stainLevel
59
60 { darkStain = darkStain
61 infection = infectionMarker
62 stain = stainMarker },
63 filteredGreenWithoutInfection,
64 filteredGreenWithoutStain
65
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69