X-Git-Url: http://git.euphorik.ch/?a=blobdiff_plain;f=Parasitemia%2FParasitemia%2FGranulometry.fs;h=78860435f4ca01ad677ee1db738d829c973be747;hb=3ddaf64dc5ba6a7066a279ad75b9a1ee72194639;hp=db299dc6a0b904fad9f66da25523605697724139;hpb=5ac2dedf8ead5275ac216e0b41829ab39c843800;p=master-thesis.git diff --git a/Parasitemia/Parasitemia/Granulometry.fs b/Parasitemia/Parasitemia/Granulometry.fs index db299dc..7886043 100644 --- a/Parasitemia/Parasitemia/Granulometry.fs +++ b/Parasitemia/Parasitemia/Granulometry.fs @@ -10,8 +10,8 @@ open Utils // 'range': a minimum and maximum radius. // 'scale': <= 1.0, to speed up the process. -let findRadius (img: Image) (range: int * int) (scale: float) : int = - use scaledImg = if scale = 1.0 then img else img.Resize(scale, CvEnum.Inter.Area) +let findRadiusByClosing (img: Image) (range: int * int) (scale: float) : int = + use scaledImg = if scale = 1. then img else img.Resize(scale, CvEnum.Inter.Area) let r1, r2 = range let r1', r2' = roundInt (float r1 * scale), roundInt (float r2 * scale) @@ -19,9 +19,26 @@ let findRadius (img: Image) (range: int * int) (scale: float) : int let patternSpectrum = Array.zeroCreate (r2' - r1') let intensityImg = scaledImg.GetSum().Intensity + // 's' must be odd. + let octagon (s: int) : Matrix = + if s % 2 = 0 then failwith "s must be odd" + let m = new Matrix(Array2D.create s s 1uy) + let r = (float s) / (Math.Sqrt 2. + 2.) |> roundInt + for i in 0 .. r - 1 do + for j in 0 .. r - 1 do + if i + j < r + then + m.[i, j] <- 0uy + m.[s - i - 1, j] <- 0uy + m.[i, s - j - 1] <- 0uy + m.[s - i - 1, s - j - 1] <- 0uy + m + let mutable previous_n = Double.NaN for r in r1' .. r2' do let se = CvInvoke.GetStructuringElement(CvEnum.ElementShape.Ellipse, Size(2 * r, 2 * r), Point(-1, -1)) + //let se = octagon (2 * r - 1) + use closed = scaledImg.MorphologyEx(CvEnum.MorphOp.Close, se, Point(-1, -1), 1, CvEnum.BorderType.Replicate, MCvScalar(0.0)) let n = closed.GetSum().Intensity @@ -36,3 +53,18 @@ let findRadius (img: Image) (range: int * int) (scale: float) : int float (max + r1') / scale |> roundInt +let findRadiusByAreaClosing (img: Image) (range: int * int) : int = + let r1, r2 = range + + use imgCopy = img.Copy() + + let mutable maxDiff = 0.f + let mutable max_r = r1 + + ImgTools.areaCloseFWithFun imgCopy [ for r in r1 .. r2 -> Math.PI * float r ** 2. |> roundInt, r ] (fun r diff -> + if r <> r1 && diff > maxDiff + then + maxDiff <- diff + max_r <- r - 1 ) + max_r +