let greenFloat = green.Convert<Gray, float32>()
- let filteredGreen = gaussianFilter green config.Parameters.preFilterSigma
+ let filteredGreen = gaussianFilter greenFloat config.Parameters.preFilterSigma
(*let maximaImg = filteredGreen.Copy()
let maxima = logTime "maxima" (fun () -> ImgTools.findMaxima maximaImg)
logTime "areaOpen1" (fun () -> ImgTools.areaOpen greenOpen1 2000)*)
let initialAreaOpen = 2000
- logTime "areaOpen 1" (fun () -> ImgTools.areaOpen filteredGreen 2000)
+ logTime "areaOpen 1" (fun () -> ImgTools.areaOpenF filteredGreen initialAreaOpen)
config.RBCRadius <- Granulometry.findRadius filteredGreen (10, 100) 0.5 |> float
let secondAreaOpen = int <| config.RBCArea / 3.
if secondAreaOpen > initialAreaOpen
then
- logTime "areaOpen 2" (fun () -> ImgTools.areaOpen filteredGreen secondAreaOpen)
+ logTime "areaOpen 2" (fun () -> ImgTools.areaOpenF filteredGreen secondAreaOpen)
- let filteredGreenFloat = filteredGreen.Convert<Gray, float32>() // Is it neccessary?
-
- let parasites, filteredGreenWhitoutInfection, filteredGreenWhitoutStain = ParasitesMarker.find filteredGreen filteredGreenFloat config
+ let parasites, filteredGreenWhitoutInfection, filteredGreenWhitoutStain = ParasitesMarker.find filteredGreen config
//let parasites, filteredGreenWhitoutInfection, filteredGreenWhitoutStain = ParasitesMarker.findMa greenFloat filteredGreenFloat config
- let filteredGreenWhitoutInfectionFloat = filteredGreenWhitoutInfection.Convert<Gray, float32>()
- let filteredGreenWhitoutStainFloat = filteredGreenWhitoutStain.Convert<Gray, float32>()
-
- use sobelKernel =
- new ConvolutionKernelF(array2D [[ 1.0f; 0.0f; -1.0f ]
- [ 2.0f; 0.0f; -2.0f ]
- [ 1.0f; 0.0f; -1.0f ]], Point(0, 0))
-
- use xEdges = filteredGreenWhitoutStainFloat.Convolution(sobelKernel).Convert<Gray, float>()
- use yEdges = filteredGreenWhitoutStainFloat.Convolution(sobelKernel.Transpose()).Convert<Gray, float>()
-
- let xEdgesData = xEdges.Data
- let yEdgesData = yEdges.Data
- for r in 0..xEdges.Rows-1 do
- xEdgesData.[r, 0, 0] <- 0.0
- xEdgesData.[r, xEdges.Cols-1, 0] <- 0.0
- yEdgesData.[r, 0, 0] <- 0.0
- yEdgesData.[r, xEdges.Cols-1, 0] <- 0.0
-
- for c in 0..xEdges.Cols-1 do
- xEdgesData.[0, c, 0] <- 0.0
- xEdgesData.[xEdges.Rows-1, c, 0] <- 0.0
- yEdgesData.[0, c, 0] <- 0.0
- yEdgesData.[xEdges.Rows-1, c, 0] <- 0.0
-
- use magnitudes = new Matrix<float>(xEdges.Size)
- CvInvoke.CartToPolar(xEdges, yEdges, magnitudes, new Mat()) // Compute the magnitudes (without angles).
-
- let min = ref 0.0
- let minLocation = ref <| Point()
- let max = ref 0.0
- let maxLocation = ref <| Point()
- magnitudes.MinMax(min, max, minLocation, maxLocation)
-
- use magnitudesByte = ((magnitudes / !max) * 255.0).Convert<byte>() // Otsu from OpenCV only support 'byte'.
- use edges = new Matrix<byte>(xEdges.Size)
- CvInvoke.Threshold(magnitudesByte, edges, 0.0, 1.0, CvEnum.ThresholdType.Otsu ||| CvEnum.ThresholdType.Binary) |> ignore
-
- logTime "Finding edges" (fun() -> thin edges)
+
+ let edges, xGradient, yGradient = ImgTools.findEdges filteredGreenWhitoutStain
+
logTime "Removing small connected components from thinning" (fun () -> removeArea edges 12)
let allEllipses, ellipses = logTime "Finding ellipses" (fun () ->
- let matchingEllipses = Ellipse.find edges xEdges yEdges config
+ let matchingEllipses = Ellipse.find edges xGradient yGradient config
matchingEllipses.Ellipses, matchingEllipses.PrunedEllipses )
let cells = logTime "Classifier" (fun () -> Classifier.findCells ellipses parasites filteredGreenWhitoutStain config)
let buildFileName postfix = System.IO.Path.Combine(dirPath, name + postfix)
+ //saveImg canny (buildFileName " - canny.png")
+
saveMat (edges * 255.0) (buildFileName " - edges.png")
saveImg parasites.darkStain (buildFileName " - parasites - dark stain.png")
saveImg parasites.infection (buildFileName " - parasites - infection.png")
let imgAllEllipses = img.Copy()
- drawEllipses imgAllEllipses allEllipses (Bgr(0.0, 240.0, 240.0)) 0.1
+ drawEllipses imgAllEllipses allEllipses (Bgr(0.0, 240.0, 240.0)) 0.05
saveImg imgAllEllipses (buildFileName " - ellipses - all.png")
let imgEllipses = img.Copy()
drawEllipses imgEllipses ellipses (Bgr(0.0, 240.0, 240.0)) 1.0
saveImg imgEllipses (buildFileName " - ellipses.png")
- // saveImg (kmediansResults.fg * 255.0) (buildFileName " - foreground.png")
-
let imgCells = img.Copy()
drawCells imgCells false cells
saveImg imgCells (buildFileName " - cells.png")
drawCells imgCells' true cells
saveImg imgCells' (buildFileName " - cells - full.png")
- let filteredGreenMaxima = gaussianFilter green config.Parameters.preFilterSigma
+ let filteredGreenMaxima = gaussianFilter greenFloat config.Parameters.preFilterSigma
for m in ImgTools.findMaxima filteredGreenMaxima do
- ImgTools.drawPoints filteredGreenMaxima m 255uy
+ ImgTools.drawPoints filteredGreenMaxima m 255.f
saveImg filteredGreenMaxima (buildFileName " - filtered - maxima.png")
saveImg filteredGreen (buildFileName " - filtered.png")
saveImg filteredGreenWhitoutStain (buildFileName " - filtered closed stain.png")
saveImg filteredGreenWhitoutInfection (buildFileName " - filtered closed infection.png")
- (*saveImg parasitesMarker (buildFileName " - parasites (area closing).png")
- saveImg stainMarker (buildFileName " - stain (area closing).png")*)
-
saveImg green (buildFileName " - green.png")
use blue = scaledImg.Item(0)