X-Git-Url: http://git.euphorik.ch/?p=master-thesis.git;a=blobdiff_plain;f=Parasitemia%2FParasitemiaCore%2FMainAnalysis.fs;h=926aeac5523dcf734cab8660809337e8eb8a6b32;hp=be72a2b34a05e08542f31a1e40fa911e4960b076;hb=e588f9c954a54cb259b2c1f6f9e8d9dbd4639269;hpb=6c70577f0bcc17881c753f7a527d2ff4672bb6aa diff --git a/Parasitemia/ParasitemiaCore/MainAnalysis.fs b/Parasitemia/ParasitemiaCore/MainAnalysis.fs index be72a2b..926aeac 100644 --- a/Parasitemia/ParasitemiaCore/MainAnalysis.fs +++ b/Parasitemia/ParasitemiaCore/MainAnalysis.fs @@ -12,12 +12,25 @@ open Emgu.CV.Structure open Logger open Utils +open Morpho open ImgTools open Config open Types +/// +/// Analyze the given image and detect reb blood cell (RBC) in it. +/// +/// The image +/// The name, used during logging +/// The configuration, must not be shared with another analysis +/// An optional function to report progress and/or cancel the process. +/// The first call returning 'false' will cancel the analysis. +/// The 'int' parameter correspond to the progression from 0 to 100 +/// A list of detected cells or nothing if the process has been cancelled let doAnalysis (img: Image) (name: string) (config: Config) (reportProgress: (int -> bool) option) : Cell list option = + // To report the progress of this function from 0 to 100. + // Return 'None' if the process must be aborted. let reportWithVal (percent: int) (value: 'a) : 'a option = match reportProgress with | Some f -> @@ -29,7 +42,7 @@ let doAnalysis (img: Image) (name: string) (config: Config) (reportPr let report (percent: int) : unit option = reportWithVal percent () - let inline buildLogWithName (text: string) = sprintf "(%s) %s" name text + let inline buildLogWithName (text: string) = sprintf "(%s) %s" name text let logWithName mess = Log.User(buildLogWithName mess) let inline logTimeWithName (text: string) (f: unit -> 'a option) : 'a option = Log.LogWithTime((buildLogWithName text), Severity.USER, f) @@ -38,25 +51,26 @@ let doAnalysis (img: Image) (name: string) (config: Config) (reportPr logWithName "Starting analysis ..." - use green = img.Item(1) - let greenFloat = green.Convert() - let filteredGreen = gaussianFilter greenFloat config.LPFStandardDeviation + use img_float = img.Convert() - logWithName (sprintf "Nominal erytrocyte diameter: %A" config.RBCRadiusByResolution) + use img_RBC = img_float.[1] // mergeChannelsWithProjection img_float config.Parameters.averageColor_RBC config.Parameters.averageColor_BG 255. + use img_RBC_filtered = gaussianFilter img_RBC config.LPFStandardDeviationRBC - 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) + use img_parasites = img_float.[2] // mergeChannelsWithProjection img_float config.Parameters.averageColor_Parasite config.Parameters.averageColor_RBC 255. + use img_parasites_filtered = gaussianFilter img_parasites config.LPFStandardDeviationParasite - //do! report 10 + logWithName (sprintf "Nominal erythrocyte diameter: %A" config.RBCRadiusByResolution) + + 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 () -> 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()) 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) + logWithName (sprintf "Found erythrocyte diameter: %A" config.RBCRadius) do! report 20 @@ -64,23 +78,26 @@ let doAnalysis (img: Image) (name: string) (config: Config) (reportPr 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 () -> areaOpenF img_RBC_filtered secondAreaOpening; report 30) else report 30 - let parasites, filteredGreenWhitoutStain = ParasitesMarker.find filteredGreen config - //let parasites, filteredGreenWhitoutInfection, filteredGreenWhitoutStain = ParasitesMarker.findMa greenFloat filteredGreenFloat config + // Removing parasites. + areaCloseF img_RBC_filtered (roundInt <| Const.PI * config.RBCRadius.ParasiteRadius ** 2.f) + + let! parasites, imgWhitoutParasite, imgWithoutNucleus = + logTimeWithName "Parasites segmentation" (fun () -> reportWithVal 40 (ParasitesMarker.find img_parasites_filtered config)) let! edges, xGradient, yGradient = logTimeWithName "Finding edges" (fun () -> - let edges, xGradient, yGradient = ImgTools.findEdges filteredGreenWhitoutStain + let edges, xGradient, yGradient = Edges.find img_RBC_filtered removeArea edges (config.RBCRadius.Pixel ** 2.f / 50.f |> int) - reportWithVal 40 (edges, xGradient, yGradient)) + reportWithVal 50 (edges, xGradient, yGradient)) let! matchingEllipses = logTimeWithName "Finding ellipses" (fun () -> reportWithVal 60 (Ellipse.find edges xGradient yGradient config)) 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" @@ -93,44 +110,43 @@ let doAnalysis (img: Image) (name: string) (config: Config) (reportPr let buildFileName postfix = System.IO.Path.Combine(dirPath, name + postfix) - saveMat (edges * 255.0) (buildFileName " - edges.png") + IO.saveMat (edges * 255.0) (buildFileName " - edges.png") - saveImg parasites.darkStain (buildFileName " - parasites - dark stain.png") - saveImg parasites.stain (buildFileName " - parasites - stain.png") - saveImg parasites.infection (buildFileName " - parasites - infection.png") + IO.saveImg parasites.darkStain (buildFileName " - parasites - dark stain.png") + IO.saveImg parasites.parasite (buildFileName " - parasites - stain.png") + IO.saveImg parasites.nucleus (buildFileName " - parasites - infection.png") let imgAllEllipses = img.Copy() - drawEllipses imgAllEllipses matchingEllipses.Ellipses (Bgr(255.0, 255.0, 255.0)) 0.04 - saveImg imgAllEllipses (buildFileName " - ellipses - all.png") + Drawing.drawEllipses imgAllEllipses matchingEllipses.Ellipses (Bgr(255.0, 255.0, 255.0)) 0.04 + IO.saveImg imgAllEllipses (buildFileName " - ellipses - all.png") - let imgEllipses = filteredGreenWhitoutStain.Convert() - drawEllipses imgEllipses prunedEllipses (Bgr(0.0, 240.0, 240.0)) 1.0 - saveImg imgEllipses (buildFileName " - ellipses.png") + let imgEllipses = img_RBC_filtered.Convert() + Drawing.drawEllipses imgEllipses prunedEllipses (Bgr(0.0, 240.0, 240.0)) 1.0 + IO.saveImg imgEllipses (buildFileName " - ellipses.png") let imgCells = img.Copy() - drawCells imgCells false cells - saveImg imgCells (buildFileName " - cells.png") + Drawing.drawCells imgCells false cells + IO.saveImg imgCells (buildFileName " - cells.png") let imgCells' = img.Copy() - drawCells imgCells' true cells - saveImg imgCells' (buildFileName " - cells - full.png") - - let filteredGreenMaxima = gaussianFilter greenFloat config.LPFStandardDeviation - for m in ImgTools.findMaxima filteredGreenMaxima do - ImgTools.drawPoints filteredGreenMaxima m 255.f - saveImg filteredGreenMaxima (buildFileName " - filtered - maxima.png") + Drawing.drawCells imgCells' true cells + IO.saveImg imgCells' (buildFileName " - cells - full.png") - saveImg filteredGreen (buildFileName " - filtered.png") - saveImg filteredGreenWhitoutStain (buildFileName " - filtered closed stain.png") - //saveImg filteredGreenWhitoutInfection (buildFileName " - filtered closed infection.png") + let filteredGreenMaxima = gaussianFilter img_RBC config.LPFStandardDeviationRBC + for m in findMaxima filteredGreenMaxima do + Drawing.drawPoints filteredGreenMaxima m 255.f + IO.saveImg filteredGreenMaxima (buildFileName " - filtered - maxima.png") - saveImg green (buildFileName " - green.png") + IO.saveImg img_RBC_filtered (buildFileName " - filtered.png") + IO.saveImg imgWhitoutParasite (buildFileName " - filtered closed stain.png") + IO.saveImg imgWithoutNucleus (buildFileName " - filtered closed infection.png") - use blue = img.Item(0) - saveImg blue (buildFileName " - blue.png") + IO.saveImg img_RBC (buildFileName " - source - RBC.png") + IO.saveImg img_parasites (buildFileName " - source - parasites.png") - use red = img.Item(2) - saveImg red (buildFileName " - red.png") + IO.saveImg (normalize img_float.[2] 255.) (buildFileName " - source - red.png") + IO.saveImg (normalize img_float.[1] 255.) (buildFileName " - source - green.png") + IO.saveImg (normalize img_float.[0] 255.) (buildFileName " - source - blue.png") | _ -> () return cells } @@ -138,8 +154,11 @@ let doAnalysis (img: Image) (name: string) (config: Config) (reportPr /// /// Do multiple analyses on the same time. The number of concurrent process depends if the number of the core. /// -/// -/// An optional function to report progress. The process is aborted if the returned value is false +/// The images: (name * configuration * image) +/// An optional function to report progress and/or cancel the process. +/// The first call returning 'false' will cancel the analysis. +/// The 'int' parameter correspond to the progression from 0 to 100 +/// 'None' if the process has been cancelled or the list of result as (name * cells), 'name' corresponds to the given name let doMultipleAnalysis (imgs: (string * Config * Image) list) (reportProgress: (int -> bool) option) : (string * Cell list) list option = let report (percent: int) : bool = match reportProgress with