module ParasitemiaCore.Granulometry
open System
open System.Drawing
open Emgu.CV
open Emgu.CV.Structure
open Utils
///
/// Granulometry by closing on the image 'img' by testing circle structrual elements with radius range in 'range'.
///
///
/// Minimum radius * maximum radius
/// le 1.0, to speed up the process.
///
let findRadiusByClosing (img : Image) (range : int * int) (scale : float) (useOctagon : bool) : 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)
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 = 0 to r - 1 do
for j = 0 to 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 = r1' to r2' do
let se =
if useOctagon then
(octagon (2 * r - 1)).Mat // It doesn't speed up the process.
else
CvInvoke.GetStructuringElement (CvEnum.ElementShape.Ellipse, Size (2 * r, 2 * r), Point (-1, -1))
use closed = scaledImg.MorphologyEx (CvEnum.MorphOp.Close, se, Point (-1, -1), 1, CvEnum.BorderType.Replicate, MCvScalar (0.0))
let n = closed.GetSum().Intensity
if not (Double.IsNaN previous_n) then
patternSpectrum.[r - r1' - 1] <- abs (n - previous_n)
previous_n <- n
let max, _ = patternSpectrum |> Array.indexed |> Array.fold (fun (iMax, sMax) (i, s) -> if s > sMax then (i, s) else (iMax, sMax)) (0, Double.MinValue)
float (max + r1') / scale |> roundInt
///
/// Granulometry by area closing on the image 'img' by testing the circle area into the given radius range.
///
let findRadiusByAreaClosing (img : Image) (radiusRange : int * int) : int =
let r1, r2 = radiusRange
if r1 > r2 then
failwithf "'radiusRange' invalid : %O" radiusRange
use imgCopy = img.Copy ()
let mutable maxDiff = 0.f
let mutable max_r = r1
Morpho.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