Improve the thinning process performance.
[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 let imgFloat = img.Convert<Bgr, float32>()
18 use scaledImg = if config.scale = 1.0 then imgFloat else imgFloat.Resize(config.scale, CvEnum.Inter.Area)
19
20 use green = scaledImg.Item(1)
21
22 use filteredGreen = (gaussianFilter green config.doGSigma1) - config.doGLowFreqPercentageReduction * (gaussianFilter green config.doGSigma2)
23
24 use sobelKernel =
25 new ConvolutionKernelF(array2D [[ 1.0f; 0.0f; -1.0f ]
26 [ 2.0f; 0.0f; -2.0f ]
27 [ 1.0f; 0.0f; -1.0f ]], Point(0, 0))
28
29 use xEdges = filteredGreen.Convolution(sobelKernel).Convert<Gray, float>()
30 use yEdges = filteredGreen.Convolution(sobelKernel.Transpose()).Convert<Gray, float>()
31
32 let xEdgesData = xEdges.Data
33 let yEdgesData = yEdges.Data
34 for r in 0..xEdges.Rows-1 do
35 xEdgesData.[r, 0, 0] <- 0.0
36 xEdgesData.[r, xEdges.Cols-1, 0] <- 0.0
37 yEdgesData.[r, 0, 0] <- 0.0
38 yEdgesData.[r, xEdges.Cols-1, 0] <- 0.0
39
40 for c in 0..xEdges.Cols-1 do
41 xEdgesData.[0, c, 0] <- 0.0
42 xEdgesData.[xEdges.Rows-1, c, 0] <- 0.0
43 yEdgesData.[0, c, 0] <- 0.0
44 yEdgesData.[xEdges.Rows-1, c, 0] <- 0.0
45
46 use magnitudes = new Matrix<float>(xEdges.Size)
47 CvInvoke.CartToPolar(xEdges, yEdges, magnitudes, new Mat()) // Compute the magnitudes (without angles).
48
49 let min = ref 0.0
50 let minLocation = ref <| Point()
51 let max = ref 0.0
52 let maxLocation = ref <| Point()
53 magnitudes.MinMax(min, max, minLocation, maxLocation)
54
55 use magnitudesByte = ((magnitudes / !max) * 255.0).Convert<byte>() // Otsu from OpenCV only support 'byte'.
56 use edges = new Matrix<byte>(xEdges.Size)
57 CvInvoke.Threshold(magnitudesByte, edges, 0.0, 1.0, CvEnum.ThresholdType.Otsu ||| CvEnum.ThresholdType.Binary) |> ignore
58
59 logTime "Finding edges" (fun() -> thin edges)
60 logTime "Removing small connected components from thinning" (fun () -> removeArea edges 12)
61
62 (*
63 let kmediansResults = KMedians.kmedians filteredGreen 1.0
64
65 let parasites = ParasitesMarker.find green filteredGreen kmediansResults config
66
67 let radiusRange = config.scale * config.minRBCSize, config.scale * config.maxRBCSize
68 let windowSize = roundInt (1.6 * (snd radiusRange))
69 let factorNbPick = 1.5
70 let ellipses = logTime "Finding ellipses" (fun () ->
71 Ellipse.find edges xEdges yEdges radiusRange windowSize factorNbPick)
72
73 let cells = logTime "Classifier" (fun () -> Classifier.findCells ellipses parasites kmediansResults.fg config)
74 *)
75 let cells = []
76
77 // Output pictures if debug flag is set.
78 match config.debug with
79 | DebugOn output ->
80 let buildFileName postfix = System.IO.Path.Combine(output, name + postfix)
81 saveMat (edges * 255.0) (buildFileName " - edges.png")
82
83 (*saveImg parasites.darkStain (buildFileName " - parasites - dark stain.png")
84 saveImg parasites.stain (buildFileName " - parasites - stain.png")
85 saveImg parasites.infection (buildFileName " - parasites - infection.png")
86
87 let imgEllipses = img.Copy()
88 drawEllipses imgEllipses ellipses (Bgr(0.0, 240.0, 240.0))
89 saveImg imgEllipses (buildFileName " - ellipses.png")
90
91 saveImg (kmediansResults.fg * 255.0) (buildFileName " - foreground.png")
92
93 let imgCells = img.Copy()
94 drawCells imgCells false cells
95 saveImg imgCells (buildFileName " - cells.png")
96
97 let imgCells' = img.Copy()
98 drawCells imgCells' true cells
99 saveImg imgCells' (buildFileName " - cells - full.png")*)
100 | _ -> ()
101
102 cells