X-Git-Url: http://git.euphorik.ch/?p=master-thesis.git;a=blobdiff_plain;f=Parasitemia%2FParasitemia%2FParasitesMarker.fs;h=9adf1850513f69aee3ea5ce96c1985b5109e6961;hp=e422b04d92fa4fbd92ea56b1d3b382cad4fc36f0;hb=10afa9a402eb88c8e073fe8b0d607faa25230eef;hpb=5b68d946369f998865d2dd330fd3b374b2b9a0ad

diff --git a/Parasitemia/Parasitemia/ParasitesMarker.fs b/Parasitemia/Parasitemia/ParasitesMarker.fs
index e422b04..9adf185 100644
--- a/Parasitemia/Parasitemia/ParasitesMarker.fs
+++ b/Parasitemia/Parasitemia/ParasitesMarker.fs
@@ -16,8 +16,6 @@ type Result = {
 // * 'Infection' corresponds to the parasite. It shouldn't contain thrombocytes.
 let find (green: Image<Gray, float32>) (filteredGreen: Image<Gray, float32>) (kmediansResult: KMedians.Result) (config: Config.Config) : Result =
 
-    let green = ImgTools.gaussianFilter green 1.0
-
     // We use the filtered image to find the dark stain.
     let { KMedians.fg = fg; KMedians.median_bg = median_bg; KMedians.median_fg = median_fg; KMedians.d_fg = d_fg } = kmediansResult
     let darkStain = d_fg.Cmp(median_bg * config.darkStainLevel, CvEnum.CmpType.GreaterThan)
@@ -25,13 +23,12 @@ let find (green: Image<Gray, float32>) (filteredGreen: Image<Gray, float32>) (km
     darkStain._And(fg)
 
     let fgFloat = (fg / 255.0).Convert<Gray, float32>()
-    let greenWithoutBg = green.Copy()
+    use greenWithoutBg = ImgTools.gaussianFilter green 1.0
     greenWithoutBg.SetValue(Gray(0.0), fg.Not())
 
     let findSmears (sigma: float) (level: float) : Image<Gray, byte> =
-        let greenWithoutBgSmoothed = ImgTools.gaussianFilter greenWithoutBg sigma
-        let fgSmoothed = ImgTools.gaussianFilter fgFloat sigma
-
+        use greenWithoutBgSmoothed = ImgTools.gaussianFilter greenWithoutBg sigma
+        use fgSmoothed = ImgTools.gaussianFilter fgFloat sigma
         let smears = (greenWithoutBg.Mul(fgSmoothed)).Cmp(greenWithoutBgSmoothed.Mul(level), CvEnum.CmpType.LessThan)
         smears._And(fg)
         smears