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