logWithName "Starting analysis ..."
- use green = img.Item(1)
- let greenFloat = green.Convert<Gray, float32>()
- let filteredGreen = gaussianFilter greenFloat config.LPFStandardDeviation
+ use img_float = img.Convert<Bgr, float32>()
+
+ // use img_RBC = mergeChannels img_float config.Parameters.colorContribution_BG_RBC
+ use img_RBC = mergeChannelsWithProjection img_float (94.7f, 80.7f, 99.3f) (113.3f, 135.3f, 150.3f) 255.
+ let img_RBC_filtered = gaussianFilter img_RBC config.LPFStandardDeviationRBC
+
+ //use img_parasites = mergeChannels img_float config.Parameters.colorContribution_RBC_parasite
+ use img_parasites = mergeChannelsWithProjection img_float (76.f, 58.f, 94.f) (94.7f, 80.7f, 99.3f) 255.
logWithName (sprintf "Nominal erytrocyte diameter: %A" config.RBCRadiusByResolution)
- let initialAreaOpening = int <| config.RBCRadiusByResolution.Area * config.Parameters.ratioAreaPaleCenter * 1.2f // We do an area opening a little larger to avoid to do a second one in the case the radius found is near the initial one.
- do! logTimeWithName "First area opening" (fun () -> ImgTools.areaOpenF filteredGreen initialAreaOpening; report 10)
+ let initialAreaOpening = int <| config.RBCRadiusByResolution.Area * config.Parameters.ratioAreaPaleCenter * 1.1f // We do an area opening a little larger to avoid to do a second one in the case the radius found is near the initial one.
+ do! logTimeWithName "First area opening" (fun () -> ImgTools.areaOpenF img_RBC_filtered initialAreaOpening; report 10)
let range =
let delta = config.Parameters.granulometryRange * config.RBCRadiusByResolution.Pixel
int <| config.RBCRadiusByResolution.Pixel - delta, int <| config.RBCRadiusByResolution.Pixel + delta
//let r1 = log "Granulometry (morpho)" (fun() -> Granulometry.findRadiusByClosing (filteredGreen.Convert<Gray, byte>()) range 1.0 |> float32)
- let! radius = logTimeWithName "Granulometry (area)" (fun() -> reportWithVal 10 (Granulometry.findRadiusByAreaClosing filteredGreen range |> float32))
+ let! radius = logTimeWithName "Granulometry (area)" (fun() -> reportWithVal 10 (Granulometry.findRadiusByAreaClosing img_RBC_filtered range |> float32))
config.SetRBCRadius <| radius
logWithName (sprintf "Found erytrocyte diameter: %A" config.RBCRadius)
let secondAreaOpening = int <| config.RBCRadius.Area * config.Parameters.ratioAreaPaleCenter
if secondAreaOpening > initialAreaOpening
then
- logTimeWithName "Second area opening" (fun () -> ImgTools.areaOpenF filteredGreen secondAreaOpening; report 30)
+ logTimeWithName "Second area opening" (fun () -> ImgTools.areaOpenF img_RBC_filtered secondAreaOpening; report 30)
else
report 30
- let parasites, filteredGreenWhitoutStain = ParasitesMarker.find filteredGreen config
+ // Removing of parasites.
+ ImgTools.areaCloseF img_RBC_filtered (roundInt <| Const.PI * config.RBCRadius.ParasiteRadius ** 2.f)
+
+ let parasites, filteredGreenWhitoutStain, filteredGreenWithoutInfection = ParasitesMarker.find img_parasites config
//let parasites, filteredGreenWhitoutInfection, filteredGreenWhitoutStain = ParasitesMarker.findMa greenFloat filteredGreenFloat config
let! edges, xGradient, yGradient = logTimeWithName "Finding edges" (fun () ->
- let edges, xGradient, yGradient = ImgTools.findEdges filteredGreenWhitoutStain
+ let edges, xGradient, yGradient = ImgTools.findEdges img_RBC_filtered
removeArea edges (config.RBCRadius.Pixel ** 2.f / 50.f |> int)
reportWithVal 40 (edges, xGradient, yGradient))
let! prunedEllipses = logTimeWithName "Ellipses pruning" (fun () -> reportWithVal 80 (matchingEllipses.PrunedEllipses))
- let! cells = logTimeWithName "Classifier" (fun () -> reportWithVal 100 (Classifier.findCells prunedEllipses parasites filteredGreenWhitoutStain config))
+ let! cells = logTimeWithName "Classifier" (fun () -> reportWithVal 100 (Classifier.findCells prunedEllipses parasites img_RBC_filtered config))
logWithName "Analysis finished"
drawEllipses imgAllEllipses matchingEllipses.Ellipses (Bgr(255.0, 255.0, 255.0)) 0.04
saveImg imgAllEllipses (buildFileName " - ellipses - all.png")
- let imgEllipses = filteredGreenWhitoutStain.Convert<Bgr, byte>()
+ let imgEllipses = img_RBC_filtered.Convert<Bgr, byte>()
drawEllipses imgEllipses prunedEllipses (Bgr(0.0, 240.0, 240.0)) 1.0
saveImg imgEllipses (buildFileName " - ellipses.png")
drawCells imgCells' true cells
saveImg imgCells' (buildFileName " - cells - full.png")
- let filteredGreenMaxima = gaussianFilter greenFloat config.LPFStandardDeviation
+ let filteredGreenMaxima = gaussianFilter img_RBC config.LPFStandardDeviationRBC
for m in ImgTools.findMaxima filteredGreenMaxima do
ImgTools.drawPoints filteredGreenMaxima m 255.f
saveImg filteredGreenMaxima (buildFileName " - filtered - maxima.png")
- saveImg filteredGreen (buildFileName " - filtered.png")
+ saveImg img_RBC_filtered (buildFileName " - filtered.png")
saveImg filteredGreenWhitoutStain (buildFileName " - filtered closed stain.png")
- //saveImg filteredGreenWhitoutInfection (buildFileName " - filtered closed infection.png")
-
- saveImg green (buildFileName " - green.png")
-
- use blue = img.Item(0)
- saveImg blue (buildFileName " - blue.png")
+ saveImg filteredGreenWithoutInfection (buildFileName " - filtered closed infection.png")
- use red = img.Item(2)
- saveImg red (buildFileName " - red.png")
+ saveImg img_RBC (buildFileName " - source - RBC.png")
+ saveImg img_parasites (buildFileName " - source - parasites.png")
| _ -> ()
return cells }
projects / master-thesis.git / blobdiff