module ParasitemiaCore.Edges open System open System.Drawing open System.Collections.Generic open Emgu.CV open Emgu.CV.Structure open Const open Histogram open Otsu // Sensibilities of the hysteresis search. let sensibilityHigh = 0.1f let sensibilityLow = 0.0f /// /// Find edges of an image by using the Canny approach. /// The thresholds are automatically defined with otsu on gradient magnitudes. /// /// let find (img : Image) : Matrix * Matrix * Matrix = let w = img.Width let h = img.Height use sobelKernel = new Matrix ( array2D [[ -1.0f; 0.0f; 1.0f ] [ -2.0f; 0.0f; 2.0f ] [ -1.0f; 0.0f; 1.0f ]] ) let xGradient = new Matrix (img.Size) let yGradient = new Matrix (img.Size) CvInvoke.Filter2D (img, xGradient, sobelKernel, Point (1, 1)) CvInvoke.Filter2D (img, yGradient, sobelKernel.Transpose (), Point (1, 1)) use magnitudes = new Matrix (xGradient.Size) use angles = new Matrix (xGradient.Size) CvInvoke.CartToPolar (xGradient, yGradient, magnitudes, angles) // Compute the magnitudes and angles. The angles are between 0 and 2 * pi. let thresholdHigh, thresholdLow = let threshold, _, _ = otsu (histogramMat magnitudes 300) threshold + (sensibilityHigh * threshold), threshold - (sensibilityLow * threshold) // Non-maximum suppression. use nms = new Matrix (xGradient.Size) let nmsData = nms.Data let anglesData = angles.Data let magnitudesData = magnitudes.Data let xGradientData = xGradient.Data let yGradientData = yGradient.Data for i = 1 to h - 2 do for j = 1 to w - 2 do let vx = xGradientData.[i, j] let vy = yGradientData.[i, j] if vx <> 0.f || vy <> 0.f then let angle = anglesData.[i, j] let vx', vy' = abs vx, abs vy let ratio2 = if vx' > vy' then vy' / vx' else vx' / vy' let ratio1 = 1.f - ratio2 let mNeigbors (sign : int) : float32 = if angle < PI / 4.f then ratio1 * magnitudesData.[i, j + sign] + ratio2 * magnitudesData.[i + sign, j + sign] elif angle < PI / 2.f then ratio2 * magnitudesData.[i + sign, j + sign] + ratio1 * magnitudesData.[i + sign, j] elif angle < 3.f * PI / 4.f then ratio1 * magnitudesData.[i + sign, j] + ratio2 * magnitudesData.[i + sign, j - sign] elif angle < PI then ratio2 * magnitudesData.[i + sign, j - sign] + ratio1 * magnitudesData.[i, j - sign] elif angle < 5.f * PI / 4.f then ratio1 * magnitudesData.[i, j - sign] + ratio2 * magnitudesData.[i - sign, j - sign] elif angle < 3.f * PI / 2.f then ratio2 * magnitudesData.[i - sign, j - sign] + ratio1 * magnitudesData.[i - sign, j] elif angle < 7.f * PI / 4.f then ratio1 * magnitudesData.[i - sign, j] + ratio2 * magnitudesData.[i - sign, j + sign] else ratio2 * magnitudesData.[i - sign, j + sign] + ratio1 * magnitudesData.[i, j + sign] let m = magnitudesData.[i, j] if m >= thresholdLow && m > mNeigbors 1 && m > mNeigbors -1 then nmsData.[i, j] <- 1uy // suppressMConnections nms // It's not helpful for the rest of the process (ellipse detection). let edges = new Matrix (xGradient.Size) let edgesData = edges.Data // Hysteresis thresholding. let toVisit = Stack () for i = 0 to h - 1 do for j = 0 to w - 1 do if nmsData.[i, j] = 1uy && magnitudesData.[i, j] >= thresholdHigh then nmsData.[i, j] <- 0uy toVisit.Push (Point (j, i)) while toVisit.Count > 0 do let p = toVisit.Pop () edgesData.[p.Y, p.X] <- 1uy for i' = -1 to 1 do for j' = -1 to 1 do if i' <> 0 || j' <> 0 then let ni = p.Y + i' let nj = p.X + j' if ni >= 0 && ni < h && nj >= 0 && nj < w && nmsData.[ni, nj] = 1uy then nmsData.[ni, nj] <- 0uy toVisit.Push (Point (nj, ni)) edges, xGradient, yGradient