X-Git-Url: http://git.euphorik.ch/?p=master-thesis.git;a=blobdiff_plain;f=Parasitemia%2FParasitemiaCore%2FImgTools%2FEdges.fs;h=7c3e6d325be4fbca03bf41789d7f1e1b51a86513;hp=df5858ddc2493f0c294a6999524577e1c323cf42;hb=2d712781def419c9acc98368f7102b19b064f16d;hpb=1b8e45987bde692ab5602c281f878707f70459b7

diff --git a/Parasitemia/ParasitemiaCore/ImgTools/Edges.fs b/Parasitemia/ParasitemiaCore/ImgTools/Edges.fs
index df5858d..7c3e6d3 100644
--- a/Parasitemia/ParasitemiaCore/ImgTools/Edges.fs
+++ b/Parasitemia/ParasitemiaCore/ImgTools/Edges.fs
@@ -20,30 +20,32 @@ let sensibilityLow = 0.0f
 /// The thresholds are automatically defined with otsu on gradient magnitudes.
 /// </summary>
 /// <param name="img"></param>
-let find (img: Image<Gray, float32>) : Matrix<byte> * Matrix<float32> * Matrix<float32> =
+let find (img : Image<Gray, float32>) : Matrix<byte> * Matrix<float32> * Matrix<float32> =
     let w = img.Width
     let h = img.Height
 
     use sobelKernel =
-        new Matrix<float32>(array2D [[ -1.0f; 0.0f; 1.0f ]
-                                     [ -2.0f; 0.0f; 2.0f ]
-                                     [ -1.0f; 0.0f; 1.0f ]])
+        new Matrix<float32> (
+            array2D [[ -1.0f; 0.0f; 1.0f ]
+                     [ -2.0f; 0.0f; 2.0f ]
+                     [ -1.0f; 0.0f; 1.0f ]]
+        )
 
-    let xGradient = new Matrix<float32>(img.Size)
-    let yGradient = new Matrix<float32>(img.Size)
-    CvInvoke.Filter2D(img, xGradient, sobelKernel, Point(1, 1))
-    CvInvoke.Filter2D(img, yGradient, sobelKernel.Transpose(), Point(1, 1))
+    let xGradient = new Matrix<float32> (img.Size)
+    let yGradient = new Matrix<float32> (img.Size)
+    CvInvoke.Filter2D (img, xGradient, sobelKernel, Point (1, 1))
+    CvInvoke.Filter2D (img, yGradient, sobelKernel.Transpose (), Point (1, 1))
 
-    use magnitudes = new Matrix<float32>(xGradient.Size)
-    use angles = new Matrix<float32>(xGradient.Size)
-    CvInvoke.CartToPolar(xGradient, yGradient, magnitudes, angles) // Compute the magnitudes and angles. The angles are between 0 and 2 * pi.
+    use magnitudes = new Matrix<float32> (xGradient.Size)
+    use angles = new Matrix<float32> (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<byte>(xGradient.Size)
+    use nms = new Matrix<byte> (xGradient.Size)
 
     let nmsData = nms.Data
     let anglesData = angles.Data
@@ -55,61 +57,57 @@ let find (img: Image<Gray, float32>) : Matrix<byte> * Matrix<float32> * Matrix<f
         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
+            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 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
+                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<byte>(xGradient.Size)
+    let edges = new Matrix<byte> (xGradient.Size)
     let edgesData = edges.Data
 
     // Hysteresis thresholding.
-    let toVisit = Stack<Point>()
+    let toVisit = Stack<Point> ()
     for i = 0 to h - 1 do
         for j = 0 to w - 1 do
-            if nmsData.[i, j] = 1uy && magnitudesData.[i, j] >= thresholdHigh
-            then
+            if nmsData.[i, j] = 1uy && magnitudesData.[i, j] >= thresholdHigh then
                 nmsData.[i, j] <- 0uy
-                toVisit.Push(Point(j, i))
+                toVisit.Push (Point (j, i))
                 while toVisit.Count > 0 do
-                    let p = toVisit.Pop()
+                    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
+                            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
+                                if ni >= 0 && ni < h && nj >= 0 && nj < w && nmsData.[ni, nj] = 1uy then
                                     nmsData.[ni, nj] <- 0uy
-                                    toVisit.Push(Point(nj, ni))
+                                    toVisit.Push (Point (nj, ni))
 
     edges, xGradient, yGradient
\ No newline at end of file