Change the parasite detection method.
[master-thesis.git] / Parasitemia / Parasitemia / ParasitesMarker.fs
1 module ParasitesMarker
2
3 open System.Drawing
4
5 open Emgu.CV
6 open Emgu.CV.Structure
7
8 type Result = {
9 darkStain: Image<Gray, byte>
10 stain: Image<Gray, byte>
11 infection: Image<Gray, byte> }
12
13 // Create three binary markers :
14 // * 'Dark stain' corresponds to the colored pixel, it's independent of the size of the areas.
15 // * 'Stain' corresponds to the stain around the parasites.
16 // * 'Infection' corresponds to the parasite. It shouldn't contain thrombocytes.
17 (*let find (green: Image<Gray, float32>) (filteredGreen: Image<Gray, float32>) (kmediansResult: KMedians.Result) (config: Config.Config) : Result =
18
19 // We use the filtered image to find the dark stain.
20 let { KMedians.fg = fg; KMedians.median_bg = median_bg; KMedians.median_fg = median_fg; KMedians.d_fg = d_fg } = kmediansResult
21 let darkStain = d_fg.Cmp(median_bg * config.Parameters.darkStainLevel, CvEnum.CmpType.GreaterThan)
22 darkStain._And(filteredGreen.Cmp(median_fg, CvEnum.CmpType.LessThan))
23 darkStain._And(fg)
24
25 let fgFloat = (fg / 255.0).Convert<Gray, float32>()
26 use greenWithoutBg = ImgTools.gaussianFilter green 1.0
27 greenWithoutBg.SetValue(Gray(0.0), fg.Not())
28
29 let findSmears (sigma: float) (level: float) : Image<Gray, byte> =
30 use greenWithoutBgSmoothed = ImgTools.gaussianFilter greenWithoutBg sigma
31 use fgSmoothed = ImgTools.gaussianFilter fgFloat sigma
32 let smears = (greenWithoutBg.Mul(fgSmoothed)).Cmp(greenWithoutBgSmoothed.Mul(level), CvEnum.CmpType.LessThan)
33 smears._And(fg)
34 smears
35
36 { darkStain = darkStain;
37 stain = findSmears config.Parameters.stainSigma config.Parameters.stainLevel
38 infection = findSmears config.Parameters.infectionSigma config.Parameters.infectionLevel }*)
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