stain: Image<Gray, byte>
infection: Image<Gray, byte> }
+// Create three binary markers :
+// * 'Dark stain' corresponds to the colored pixel, it's independent of the size of the areas.
+// * 'Stain' corresponds to the stain around the parasites.
+// * '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)
darkStain._And(filteredGreen.Cmp(median_fg, CvEnum.CmpType.LessThan))
darkStain._And(fg)
-
+
let fgFloat = (fg / 255.0).Convert<Gray, float32>()
let greenWithoutBg = green.Copy()
greenWithoutBg.SetValue(Gray(0.0), fg.Not())
- let findSmears (sigma: float) (level: float) : Image<Gray, byte> =
+ let findSmears (sigma: float) (level: float) : Image<Gray, byte> =
let greenWithoutBgSmoothed = ImgTools.gaussianFilter greenWithoutBg sigma
let fgSmoothed = ImgTools.gaussianFilter fgFloat sigma
let smears = (greenWithoutBg.Mul(fgSmoothed)).Cmp(greenWithoutBgSmoothed.Mul(level), CvEnum.CmpType.LessThan)
smears._And(fg)
- smears
+ smears
{ darkStain = darkStain;
stain = findSmears config.stainSigma config.stainLevel
infection = findSmears config.infectionSigma config.infectionLevel }
-
+