X-Git-Url: http://git.euphorik.ch/?p=master-thesis.git;a=blobdiff_plain;f=Parasitemia%2FParasitemia%2FMainAnalysis.fs;h=d959624b8b2b7ded61e54a2342b70056a11c8965;hp=c9e94224c67e957a14d3c3503732990188ba9d02;hb=84fdf7404133803fdf0dc867a4da68a144975191;hpb=5b68d946369f998865d2dd330fd3b374b2b9a0ad diff --git a/Parasitemia/Parasitemia/MainAnalysis.fs b/Parasitemia/Parasitemia/MainAnalysis.fs index c9e9422..d959624 100644 --- a/Parasitemia/Parasitemia/MainAnalysis.fs +++ b/Parasitemia/Parasitemia/MainAnalysis.fs @@ -14,20 +14,40 @@ open Types let doAnalysis (img: Image) (name: string) (config: Config) : Cell list = - let imgFloat = img.Convert() - use scaledImg = if config.scale = 1.0 then imgFloat else imgFloat.Resize(config.scale, CvEnum.Inter.Area) + use scaledImg = if config.Parameters.scale = 1.0 then img else img.Resize(config.Parameters.scale, CvEnum.Inter.Area) use green = scaledImg.Item(1) - use filteredGreen = (gaussianFilter green config.doGSigma1) - config.doGLowFreqPercentageReduction * (gaussianFilter green config.doGSigma2) + let greenFloat = green.Convert() + + let filteredGreen = gaussianFilter green config.Parameters.preFilterSigma + + (*let maximaImg = filteredGreen.Copy() + let maxima = logTime "maxima" (fun () -> ImgTools.findMaxima maximaImg) + for m in maxima do + ImgTools.drawPoints maximaImg m 255uy + + let greenOpen1 = filteredGreen.Copy() + logTime "areaOpen1" (fun () -> ImgTools.areaOpen greenOpen1 2000)*) + + logTime "areaOpen" (fun () -> ImgTools.areaOpen filteredGreen 2000) + + config.RBCSize <- Granulometry.findRadius filteredGreen (10, 100) 0.5 |> float + + let filteredGreenFloat = filteredGreen.Convert() // Is it neccessary? + + let kmediansResults = logTime "Finding foreground (k-medians)" (fun () -> KMedians.kmedians filteredGreenFloat 1.0) + + let parasites, filteredGreenWhitoutParasites, filteredGreenWhitoutStain = ParasitesMarker2.find filteredGreen filteredGreenFloat kmediansResults config + let filteredGreenWhitoutParasitesFloat = filteredGreenWhitoutParasites.Convert() 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 = filteredGreen.Convolution(sobelKernel).Convert() - use yEdges = filteredGreen.Convolution(sobelKernel.Transpose()).Convert() + use xEdges = filteredGreenWhitoutParasitesFloat.Convolution(sobelKernel).Convert() + use yEdges = filteredGreenWhitoutParasitesFloat.Convolution(sobelKernel.Transpose()).Convert() let xEdgesData = xEdges.Data let yEdgesData = yEdges.Data @@ -59,33 +79,32 @@ let doAnalysis (img: Image) (name: string) (config: Config) : Cell li logTime "Finding edges" (fun() -> thin edges) logTime "Removing small connected components from thinning" (fun () -> removeArea edges 12) - (* - let kmediansResults = KMedians.kmedians filteredGreen 1.0 - - let parasites = ParasitesMarker.find green filteredGreen kmediansResults config - - let radiusRange = config.scale * config.minRBCSize, config.scale * config.maxRBCSize - let windowSize = roundInt (1.6 * (snd radiusRange)) - let factorNbPick = 1.5 - let ellipses = logTime "Finding ellipses" (fun () -> - Ellipse.find edges xEdges yEdges radiusRange windowSize factorNbPick) + let allEllipses, ellipses = logTime "Finding ellipses" (fun () -> + let matchingEllipses = Ellipse.find edges xEdges yEdges config + matchingEllipses.Ellipses, matchingEllipses.PrunedEllipses ) - let cells = logTime "Classifier" (fun () -> Classifier.findCells ellipses parasites kmediansResults.fg config) - *) - let cells = [] + let cells = logTime "Classifier" (fun () -> Classifier.findCells ellipses parasites filteredGreenWhitoutParasites config) // Output pictures if debug flag is set. - match config.debug with + match config.Debug with | DebugOn output -> - let buildFileName postfix = System.IO.Path.Combine(output, name + postfix) + let dirPath = System.IO.Path.Combine(output, name) + System.IO.Directory.CreateDirectory dirPath |> ignore + + let buildFileName postfix = System.IO.Path.Combine(dirPath, name + postfix) + saveMat (edges * 255.0) (buildFileName " - edges.png") - (*saveImg parasites.darkStain (buildFileName " - parasites - dark stain.png") + saveImg parasites.darkStain (buildFileName " - parasites - dark stain.png") saveImg parasites.stain (buildFileName " - parasites - 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 + saveImg imgAllEllipses (buildFileName " - ellipses - all.png") + let imgEllipses = img.Copy() - drawEllipses imgEllipses ellipses (Bgr(0.0, 240.0, 240.0)) + 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") @@ -96,7 +115,26 @@ let doAnalysis (img: Image) (name: string) (config: Config) : Cell li let imgCells' = img.Copy() drawCells imgCells' true cells - saveImg imgCells' (buildFileName " - cells - full.png")*) + saveImg imgCells' (buildFileName " - cells - full.png") + + let filteredGreenMaxima = gaussianFilter green config.Parameters.preFilterSigma + for m in ImgTools.findMaxima filteredGreenMaxima do + ImgTools.drawPoints filteredGreenMaxima m 255uy + saveImg filteredGreenMaxima (buildFileName " - filtered - maxima.png") + + saveImg filteredGreen (buildFileName " - filtered.png") + saveImg filteredGreenWhitoutParasites (buildFileName " - filtered closed.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) + saveImg blue (buildFileName " - blue.png") + + use red = scaledImg.Item(2) + saveImg red (buildFileName " - red.png") | _ -> () cells