Use float32 images instead of byte to improve the edge detection precision.
[master-thesis.git] / Parasitemia / Parasitemia / MainAnalysis.fs
1 module ImageAnalysis
2
3 open System
4 open System.Drawing
5
6 open Emgu.CV
7 open Emgu.CV.Structure
8
9 open Utils
10 open ImgTools
11 open Config
12 open Types
13
14
15 let doAnalysis (img: Image<Bgr, byte>) (name: string) (config: Config) : Cell list =
16
17 use scaledImg = if config.Parameters.scale = 1.0 then img else img.Resize(config.Parameters.scale, CvEnum.Inter.Area)
18
19 use green = scaledImg.Item(1)
20
21 let greenFloat = green.Convert<Gray, float32>()
22
23 let filteredGreen = gaussianFilter greenFloat config.Parameters.preFilterSigma
24
25 (*let maximaImg = filteredGreen.Copy()
26 let maxima = logTime "maxima" (fun () -> ImgTools.findMaxima maximaImg)
27 for m in maxima do
28 ImgTools.drawPoints maximaImg m 255uy
29
30 let greenOpen1 = filteredGreen.Copy()
31 logTime "areaOpen1" (fun () -> ImgTools.areaOpen greenOpen1 2000)*)
32
33 let initialAreaOpen = 2000
34 logTime "areaOpen 1" (fun () -> ImgTools.areaOpenF filteredGreen initialAreaOpen)
35
36 config.RBCRadius <- Granulometry.findRadius filteredGreen (10, 100) 0.5 |> float
37
38 let secondAreaOpen = int <| config.RBCArea / 3.
39 if secondAreaOpen > initialAreaOpen
40 then
41 logTime "areaOpen 2" (fun () -> ImgTools.areaOpenF filteredGreen secondAreaOpen)
42
43 let parasites, filteredGreenWhitoutInfection, filteredGreenWhitoutStain = ParasitesMarker.find filteredGreen config
44 //let parasites, filteredGreenWhitoutInfection, filteredGreenWhitoutStain = ParasitesMarker.findMa greenFloat filteredGreenFloat config
45
46 let edges, xGradient, yGradient = ImgTools.findEdges filteredGreenWhitoutStain
47
48 logTime "Removing small connected components from thinning" (fun () -> removeArea edges 12)
49
50 let allEllipses, ellipses = logTime "Finding ellipses" (fun () ->
51 let matchingEllipses = Ellipse.find edges xGradient yGradient config
52 matchingEllipses.Ellipses, matchingEllipses.PrunedEllipses )
53
54 let cells = logTime "Classifier" (fun () -> Classifier.findCells ellipses parasites filteredGreenWhitoutStain config)
55
56 // Output pictures if debug flag is set.
57 match config.Debug with
58 | DebugOn output ->
59 let dirPath = System.IO.Path.Combine(output, name)
60 System.IO.Directory.CreateDirectory dirPath |> ignore
61
62 let buildFileName postfix = System.IO.Path.Combine(dirPath, name + postfix)
63
64 //saveImg canny (buildFileName " - canny.png")
65
66 saveMat (edges * 255.0) (buildFileName " - edges.png")
67
68 saveImg parasites.darkStain (buildFileName " - parasites - dark stain.png")
69 saveImg parasites.stain (buildFileName " - parasites - stain.png")
70 saveImg parasites.infection (buildFileName " - parasites - infection.png")
71
72 let imgAllEllipses = img.Copy()
73 drawEllipses imgAllEllipses allEllipses (Bgr(0.0, 240.0, 240.0)) 0.05
74 saveImg imgAllEllipses (buildFileName " - ellipses - all.png")
75
76 let imgEllipses = img.Copy()
77 drawEllipses imgEllipses ellipses (Bgr(0.0, 240.0, 240.0)) 1.0
78 saveImg imgEllipses (buildFileName " - ellipses.png")
79
80 let imgCells = img.Copy()
81 drawCells imgCells false cells
82 saveImg imgCells (buildFileName " - cells.png")
83
84 let imgCells' = img.Copy()
85 drawCells imgCells' true cells
86 saveImg imgCells' (buildFileName " - cells - full.png")
87
88 let filteredGreenMaxima = gaussianFilter greenFloat config.Parameters.preFilterSigma
89 for m in ImgTools.findMaxima filteredGreenMaxima do
90 ImgTools.drawPoints filteredGreenMaxima m 255.f
91 saveImg filteredGreenMaxima (buildFileName " - filtered - maxima.png")
92
93 saveImg filteredGreen (buildFileName " - filtered.png")
94 saveImg filteredGreenWhitoutStain (buildFileName " - filtered closed stain.png")
95 saveImg filteredGreenWhitoutInfection (buildFileName " - filtered closed infection.png")
96
97 saveImg green (buildFileName " - green.png")
98
99 use blue = scaledImg.Item(0)
100 saveImg blue (buildFileName " - blue.png")
101
102 use red = scaledImg.Item(2)
103 saveImg red (buildFileName " - red.png")
104 | _ -> ()
105
106 cells