f1a94e100b28153288ae67eea8387811e46083c2
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module ParasitesMarker
11 darkStain
: Image<Gray, byte
>
12 infection
: Image<Gray, byte
>
13 stain
: Image<Gray, byte
> }
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 findMa (green
: Image<Gray, float32
>) (filteredGreen
: Image<Gray, float32
>) (config
: Config.Config) : Result * Image<Gray, byte
> * Image<Gray, byte
> =
22 // We use the filtered image to find the dark stain.
23 let kmediansResults = logTime
"Finding fg/bg (k-medians)" (fun () -> KMedians.kmedians
filteredGreen)
24 let { KMedians.fg
= fg
; KMedians.median_bg
= median_bg
; KMedians.median_fg
= median_fg
; KMedians.d_fg
= d_fg
} = kmediansResults
25 let darkStain = d_fg
.Cmp(median_bg
* float config.Parameters.darkStainLevel
, CvEnum.CmpType.GreaterThan)
26 darkStain._And
(filteredGreen.Cmp(median_fg
, CvEnum.CmpType.LessThan))
29 let fgFloat = (fg
/ 255.0).Convert<Gray, float32
>()
30 use greenWithoutBg = ImgTools.gaussianFilter green
1.0
31 greenWithoutBg.SetValue(Gray(0.0), fg
.Not())
33 let findSmears (sigma
: float) (level
: float) : Image<Gray, byte
> =
34 use greenWithoutBgSmoothed = ImgTools.gaussianFilter
greenWithoutBg sigma
35 use fgSmoothed = ImgTools.gaussianFilter
fgFloat sigma
36 let smears = (greenWithoutBg.Mul(fgSmoothed)).Cmp(greenWithoutBgSmoothed.Mul(level
), CvEnum.CmpType.LessThan)
40 let tmp = filteredGreen.Convert<Gray, byte
>()
42 { darkStain = darkStain;
43 stain = findSmears 10. 0.9
44 infection
= findSmears 2.2
0.87 },
49 // Create three binary markers :
50 // * 'Dark stain' corresponds to the colored pixel, it's independent of the size of the areas.
51 // * 'Stain' corresponds to the stain around the parasites.
52 // * 'Infection' corresponds to the parasite. It shouldn't contain thrombocytes.
53 let find (filteredGreen: Image<Gray, float32
>) (config: Config.Config) : Result * Image<Gray, float32
> =
55 use filteredGreenWithoutInfection = filteredGreen.Copy()
56 ImgTools.areaCloseF
filteredGreenWithoutInfection (int config.InfectionArea)
58 let filteredGreenWithoutStain = filteredGreenWithoutInfection.Copy()
59 ImgTools.areaCloseF
filteredGreenWithoutStain (int config.StainArea)
61 // We use the filtered image to find the dark stain.
64 let kmeansResults = logTime
"Finding fg/bg (k-means)" (fun () -> KMeans.kmeans
(filteredGreenWithoutInfection))
65 let { KMeans.mean_bg
= value_bg
; KMeans.mean_fg
= value_fg
; KMeans.d_fg
= d_fg
} = kmeansResults
68 (* let kmediansResults = logTime "Finding fg/bg (k-medians)" (fun () -> KMedians.kmedians (filteredGreenWithoutInfection)) // FIXME: avoid converting this again in MainAnalysis
69 let { KMedians.median_bg = value_bg; KMedians.median_fg = value_fg; KMedians.d_fg = d_fg } = kmediansResults *)
71 let darkStain = d_fg
.Cmp((float value_bg) * config.Parameters.darkStainLevel
, CvEnum.CmpType.GreaterThan)
72 darkStain._And
(filteredGreenWithoutInfection.Cmp(float value_fg, CvEnum.CmpType.LessThan))
74 let marker (img
: Image<Gray, float32
>) (closed
: Image<Gray, float32
>) (level
: float) : Image<Gray, byte
> =
75 let diff = img
.Copy() // closed - (img * level)
77 CvInvoke.Subtract(closed
, diff, diff)
78 diff._ThresholdBinary
(Gray(0.0), Gray(255.))
79 diff.Convert<Gray, byte
>()
81 let infectionMarker = marker filteredGreen filteredGreenWithoutInfection config.Parameters.infectionLevel
82 let stainMarker = marker filteredGreenWithoutInfection filteredGreenWithoutStain config.Parameters.stainLevel
84 { darkStain = darkStain
85 infection
= infectionMarker
86 stain = stainMarker },
87 filteredGreenWithoutStain