Cleaning.
[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 green 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 logTime "areaOpen" (fun () -> ImgTools.areaOpen filteredGreen 2000)
34
35 config.RBCRadius <- Granulometry.findRadius filteredGreen (10, 100) 0.5 |> float
36
37 let filteredGreenFloat = filteredGreen.Convert<Gray, float32>() // Is it neccessary?
38
39 let kmediansResults = logTime "Finding foreground (k-medians)" (fun () -> KMedians.kmedians filteredGreenFloat 1.0)
40
41 let parasites, filteredGreenWhitoutInfection, filteredGreenWhitoutStain = ParasitesMarker2.find filteredGreen filteredGreenFloat kmediansResults config
42 let filteredGreenWhitoutInfectionFloat = filteredGreenWhitoutInfection.Convert<Gray, float32>()
43 let filteredGreenWhitoutStainFloat = filteredGreenWhitoutStain.Convert<Gray, float32>()
44
45 use sobelKernel =
46 new ConvolutionKernelF(array2D [[ 1.0f; 0.0f; -1.0f ]
47 [ 2.0f; 0.0f; -2.0f ]
48 [ 1.0f; 0.0f; -1.0f ]], Point(0, 0))
49
50 use xEdges = filteredGreenWhitoutStainFloat.Convolution(sobelKernel).Convert<Gray, float>()
51 use yEdges = filteredGreenWhitoutStainFloat.Convolution(sobelKernel.Transpose()).Convert<Gray, float>()
52
53 let xEdgesData = xEdges.Data
54 let yEdgesData = yEdges.Data
55 for r in 0..xEdges.Rows-1 do
56 xEdgesData.[r, 0, 0] <- 0.0
57 xEdgesData.[r, xEdges.Cols-1, 0] <- 0.0
58 yEdgesData.[r, 0, 0] <- 0.0
59 yEdgesData.[r, xEdges.Cols-1, 0] <- 0.0
60
61 for c in 0..xEdges.Cols-1 do
62 xEdgesData.[0, c, 0] <- 0.0
63 xEdgesData.[xEdges.Rows-1, c, 0] <- 0.0
64 yEdgesData.[0, c, 0] <- 0.0
65 yEdgesData.[xEdges.Rows-1, c, 0] <- 0.0
66
67 use magnitudes = new Matrix<float>(xEdges.Size)
68 CvInvoke.CartToPolar(xEdges, yEdges, magnitudes, new Mat()) // Compute the magnitudes (without angles).
69
70 let min = ref 0.0
71 let minLocation = ref <| Point()
72 let max = ref 0.0
73 let maxLocation = ref <| Point()
74 magnitudes.MinMax(min, max, minLocation, maxLocation)
75
76 use magnitudesByte = ((magnitudes / !max) * 255.0).Convert<byte>() // Otsu from OpenCV only support 'byte'.
77 use edges = new Matrix<byte>(xEdges.Size)
78 CvInvoke.Threshold(magnitudesByte, edges, 0.0, 1.0, CvEnum.ThresholdType.Otsu ||| CvEnum.ThresholdType.Binary) |> ignore
79
80 logTime "Finding edges" (fun() -> thin edges)
81 logTime "Removing small connected components from thinning" (fun () -> removeArea edges 12)
82
83 let allEllipses, ellipses = logTime "Finding ellipses" (fun () ->
84 let matchingEllipses = Ellipse.find edges xEdges yEdges config
85 matchingEllipses.Ellipses, matchingEllipses.PrunedEllipses )
86
87 let cells = logTime "Classifier" (fun () -> Classifier.findCells ellipses parasites filteredGreenWhitoutStain config)
88
89 // Output pictures if debug flag is set.
90 match config.Debug with
91 | DebugOn output ->
92 let dirPath = System.IO.Path.Combine(output, name)
93 System.IO.Directory.CreateDirectory dirPath |> ignore
94
95 let buildFileName postfix = System.IO.Path.Combine(dirPath, name + postfix)
96
97 saveMat (edges * 255.0) (buildFileName " - edges.png")
98
99 saveImg parasites.darkStain (buildFileName " - parasites - dark stain.png")
100 saveImg parasites.stain (buildFileName " - parasites - stain.png")
101 saveImg parasites.infection (buildFileName " - parasites - infection.png")
102
103 let imgAllEllipses = img.Copy()
104 drawEllipses imgAllEllipses allEllipses (Bgr(0.0, 240.0, 240.0)) 0.1
105 saveImg imgAllEllipses (buildFileName " - ellipses - all.png")
106
107 let imgEllipses = img.Copy()
108 drawEllipses imgEllipses ellipses (Bgr(0.0, 240.0, 240.0)) 1.0
109 saveImg imgEllipses (buildFileName " - ellipses.png")
110
111 saveImg (kmediansResults.fg * 255.0) (buildFileName " - foreground.png")
112
113 let imgCells = img.Copy()
114 drawCells imgCells false cells
115 saveImg imgCells (buildFileName " - cells.png")
116
117 let imgCells' = img.Copy()
118 drawCells imgCells' true cells
119 saveImg imgCells' (buildFileName " - cells - full.png")
120
121 let filteredGreenMaxima = gaussianFilter green config.Parameters.preFilterSigma
122 for m in ImgTools.findMaxima filteredGreenMaxima do
123 ImgTools.drawPoints filteredGreenMaxima m 255uy
124 saveImg filteredGreenMaxima (buildFileName " - filtered - maxima.png")
125
126 saveImg filteredGreen (buildFileName " - filtered.png")
127 saveImg filteredGreenWhitoutStain (buildFileName " - filtered closed.png")
128
129 (*saveImg parasitesMarker (buildFileName " - parasites (area closing).png")
130 saveImg stainMarker (buildFileName " - stain (area closing).png")*)
131
132 saveImg green (buildFileName " - green.png")
133
134 use blue = scaledImg.Item(0)
135 saveImg blue (buildFileName " - blue.png")
136
137 use red = scaledImg.Item(2)
138 saveImg red (buildFileName " - red.png")
139 | _ -> ()
140
141 cells