open System
open System.Drawing
open System.Collections.Generic
+open System.Linq
open Emgu.CV
open Emgu.CV.Structure
open Utils
+open Heap
// Normalize image values between 0uy and 255uy.
let normalizeAndConvert (img: Image<Gray, float32>) : Image<Gray, byte> =
img.MinMax(min, max, minLocation, maxLocation)
((img - (!min).[0]) / ((!max).[0] - (!min).[0]) * 255.0).Convert<Gray, byte>()
+
+let saveImg (img: Image<'TColor, 'TDepth>) (filepath: string) =
+ img.Save(filepath)
+
+
+let saveMat (mat: Matrix<'TDepth>) (filepath: string) =
+ use img = new Image<Gray, 'TDeph>(mat.Size)
+ mat.CopyTo(img)
+ saveImg img filepath
+
+
+let suppressMConnections (img: Matrix<byte>) =
+ let w = img.Width
+ let h = img.Height
+ for i in 1 .. h - 2 do
+ for j in 1 .. w - 2 do
+ if img.[i, j] > 0uy && img.Data.[i + 1, j] > 0uy && (img.Data.[i, j - 1] > 0uy && img.Data.[i - 1, j + 1] = 0uy || img.Data.[i, j + 1] > 0uy && img.Data.[i - 1, j - 1] = 0uy)
+ then
+ img.[i, j] <- 0uy
+ for i in 1 .. h - 2 do
+ for j in 1 .. w - 2 do
+ if img.[i, j] > 0uy && img.Data.[i - 1, j] > 0uy && (img.Data.[i, j - 1] > 0uy && img.Data.[i + 1, j + 1] = 0uy || img.Data.[i, j + 1] > 0uy && img.Data.[i + 1, j - 1] = 0uy)
+ then
+ img.[i, j] <- 0uy
+
+let findEdges (img: Image<Gray, float32>) : Matrix<byte> * Image<Gray, float> * Image<Gray, float> =
+ let w = img.Width
+ let h = img.Height
+
+ use sobelKernel =
+ new ConvolutionKernelF(array2D [[ 1.0f; 0.0f; -1.0f ]
+ [ 2.0f; 0.0f; -2.0f ]
+ [ 1.0f; 0.0f; -1.0f ]], Point(1, 1))
+
+ let xGradient = img.Convolution(sobelKernel).Convert<Gray, float>()
+ let yGradient = img.Convolution(sobelKernel.Transpose()).Convert<Gray, float>()
+
+ let xGradientData = xGradient.Data
+ let yGradientData = yGradient.Data
+ for r in 0 .. h - 1 do
+ xGradientData.[r, 0, 0] <- 0.0
+ xGradientData.[r, w - 1, 0] <- 0.0
+ yGradientData.[r, 0, 0] <- 0.0
+ yGradientData.[r, w - 1, 0] <- 0.0
+
+ for c in 0 .. w - 1 do
+ xGradientData.[0, c, 0] <- 0.0
+ xGradientData.[h - 1, c, 0] <- 0.0
+ yGradientData.[0, c, 0] <- 0.0
+ yGradientData.[h - 1, c, 0] <- 0.0
+
+ use magnitudes = new Matrix<float>(xGradient.Size)
+ use angles = new Matrix<float>(xGradient.Size)
+ CvInvoke.CartToPolar(xGradient, yGradient, magnitudes, angles) // Compute the magnitudes (without angles).
+
+ let thresholdHigh, thresholdLow =
+ let sensibility = 0.1
+ use magnitudesByte = magnitudes.Convert<byte>()
+ let threshold = CvInvoke.Threshold(magnitudesByte, magnitudesByte, 0.0, 1.0, CvEnum.ThresholdType.Otsu ||| CvEnum.ThresholdType.Binary)
+ threshold + (sensibility * threshold), threshold - (sensibility * threshold)
+
+ // Non-maximum suppression.
+ use nms = new Matrix<byte>(xGradient.Size)
+
+ for i in 0 .. h - 1 do
+ nms.Data.[i, 0] <- 0uy
+ nms.Data.[i, w - 1] <- 0uy
+
+ for j in 0 .. w - 1 do
+ nms.Data.[0, j] <- 0uy
+ nms.Data.[h - 1, j] <- 0uy
+
+ for i in 1 .. h - 2 do
+ for j in 1 .. w - 2 do
+ let vx = xGradient.Data.[i, j, 0]
+ let vy = yGradient.Data.[i, j, 0]
+ if vx <> 0. || vy <> 0.
+ then
+ let angle = angles.[i, j]
+
+ let vx', vy' = abs vx, abs vy
+ let ratio2 = if vx' > vy' then vy' / vx' else vx' / vy'
+ let ratio1 = 1. - ratio2
+
+ let mNeigbors (sign: int) : float =
+ if angle < Math.PI / 4.
+ then
+ ratio1 * magnitudes.Data.[i, j + sign] + ratio2 * magnitudes.Data.[i + sign, j + sign]
+ elif angle < Math.PI / 2.
+ then
+ ratio2 * magnitudes.Data.[i + sign, j + sign] + ratio1 * magnitudes.Data.[i + sign, j]
+ elif angle < 3.0 * Math.PI / 4.
+ then
+ ratio1 * magnitudes.Data.[i + sign, j] + ratio2 * magnitudes.Data.[i + sign, j - sign]
+ elif angle < Math.PI
+ then
+ ratio2 * magnitudes.Data.[i + sign, j - sign] + ratio1 * magnitudes.Data.[i, j - sign]
+ elif angle < 5. * Math.PI / 4.
+ then
+ ratio1 * magnitudes.Data.[i, j - sign] + ratio2 * magnitudes.Data.[i - sign, j - sign]
+ elif angle < 3. * Math.PI / 2.
+ then
+ ratio2 * magnitudes.Data.[i - sign, j - sign] + ratio1 * magnitudes.Data.[i - sign, j]
+ elif angle < 7. * Math.PI / 4.
+ then
+ ratio1 * magnitudes.Data.[i - sign, j] + ratio2 * magnitudes.Data.[i - sign, j + sign]
+ else
+ ratio2 * magnitudes.Data.[i - sign, j + sign] + ratio1 * magnitudes.Data.[i, j + sign]
+
+ let m = magnitudes.Data.[i, j]
+ if m >= thresholdLow && m > mNeigbors 1 && m > mNeigbors -1
+ then
+ nms.Data.[i, j] <- 1uy
+
+ // suppressMConnections nms // It's not helpful for the rest of the process (ellipse detection).
+
+ let edges = new Matrix<byte>(xGradient.Size)
+
+ // Histeresis thresholding.
+ let toVisit = Stack<Point>()
+ for i in 0 .. h - 1 do
+ for j in 0 .. w - 1 do
+ if nms.Data.[i, j] = 1uy && magnitudes.Data.[i, j] >= thresholdHigh
+ then
+ nms.Data.[i, j] <- 0uy
+ toVisit.Push(Point(j, i))
+ while toVisit.Count > 0 do
+ let p = toVisit.Pop()
+ edges.Data.[p.Y, p.X] <- 1uy
+ for i' in -1 .. 1 do
+ for j' in -1 .. 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 && nms.Data.[ni, nj] = 1uy
+ then
+ nms.Data.[ni, nj] <- 0uy
+ toVisit.Push(Point(nj, ni))
+
+ edges, xGradient, yGradient
+
+
let gaussianFilter (img : Image<'TColor, 'TDepth>) (standardDeviation : float) : Image<'TColor, 'TDepth> =
let size = 2 * int (ceil (4.0 * standardDeviation)) + 1
img.SmoothGaussian(size, size, standardDeviation, standardDeviation)
+
+type Points = HashSet<Point>
+
+let drawPoints (img: Image<Gray, 'TDepth>) (points: Points) (intensity: 'TDepth) =
+ for p in points do
+ img.Data.[p.Y, p.X, 0] <- intensity
+
+type ExtremumType =
+ | Maxima = 1
+ | Minima = 2
+
+let findExtremum (img: Image<Gray, 'TDepth>) (extremumType: ExtremumType) : IEnumerable<Points> =
+ let w = img.Width
+ let h = img.Height
+ let se = [| -1, 0; 0, -1; 1, 0; 0, 1 |]
+
+ let imgData = img.Data
+ let suppress: bool[,] = Array2D.zeroCreate h w
+
+ let result = List<List<Point>>()
+
+ let flood (start: Point) : List<List<Point>> =
+ let sameLevelToCheck = Stack<Point>()
+ let betterLevelToCheck = Stack<Point>()
+ betterLevelToCheck.Push(start)
+
+ let result' = List<List<Point>>()
+
+ while betterLevelToCheck.Count > 0 do
+ let p = betterLevelToCheck.Pop()
+ if not suppress.[p.Y, p.X]
+ then
+ suppress.[p.Y, p.X] <- true
+ sameLevelToCheck.Push(p)
+ let current = List<Point>()
+
+ let mutable betterExists = false
+
+ while sameLevelToCheck.Count > 0 do
+ let p' = sameLevelToCheck.Pop()
+ let currentLevel = imgData.[p'.Y, p'.X, 0]
+ current.Add(p') |> ignore
+ for i, j in se do
+ let ni = i + p'.Y
+ let nj = j + p'.X
+ if ni >= 0 && ni < h && nj >= 0 && nj < w
+ then
+ let level = imgData.[ni, nj, 0]
+ let notSuppressed = not suppress.[ni, nj]
+
+ if level = currentLevel && notSuppressed
+ then
+ suppress.[ni, nj] <- true
+ sameLevelToCheck.Push(Point(nj, ni))
+ elif if extremumType = ExtremumType.Maxima then level > currentLevel else level < currentLevel
+ then
+ betterExists <- true
+ if notSuppressed
+ then
+ betterLevelToCheck.Push(Point(nj, ni))
+
+ if not betterExists
+ then
+ result'.Add(current)
+ result'
+
+ for i in 0 .. h - 1 do
+ for j in 0 .. w - 1 do
+ let maxima = flood (Point(j, i))
+ if maxima.Count > 0
+ then
+ result.AddRange(maxima)
+
+ result.Select(fun l -> Points(l))
+
+
+let findMaxima (img: Image<Gray, 'TDepth>) : IEnumerable<Points> =
+ findExtremum img ExtremumType.Maxima
+
+
+let findMinima (img: Image<Gray, 'TDepth>) : IEnumerable<Points> =
+ findExtremum img ExtremumType.Minima
+
+
+type PriorityQueue () =
+ let size = 256
+ let q: Points[] = Array.init size (fun i -> Points())
+ let mutable highest = -1 // Value of the first elements of 'q'.
+ let mutable lowest = size
+
+ member this.NextMax () : byte * Point =
+ if this.IsEmpty
+ then
+ invalidOp "Queue is empty"
+ else
+ let l = q.[highest]
+ let next = l.First()
+ l.Remove(next) |> ignore
+ let value = byte highest
+
+ if l.Count = 0
+ then
+ highest <- highest - 1
+ while highest > lowest && q.[highest].Count = 0 do
+ highest <- highest - 1
+ if highest = lowest
+ then
+ highest <- -1
+ lowest <- size
+
+ value, next
+
+ member this.NextMin () : byte * Point =
+ if this.IsEmpty
+ then
+ invalidOp "Queue is empty"
+ else
+ let l = q.[lowest + 1]
+ let next = l.First()
+ l.Remove(next) |> ignore
+ let value = byte (lowest + 1)
+
+ if l.Count = 0
+ then
+ lowest <- lowest + 1
+ while lowest < highest && q.[lowest + 1].Count = 0 do
+ lowest <- lowest + 1
+ if highest = lowest
+ then
+ highest <- -1
+ lowest <- size
+
+ value, next
+
+ member this.Max =
+ highest |> byte
+
+ member this.Min =
+ lowest + 1 |> byte
+
+ member this.Add (value: byte) (p: Point) =
+ let vi = int value
+
+ if vi > highest
+ then
+ highest <- vi
+ if vi <= lowest
+ then
+ lowest <- vi - 1
+
+ q.[vi].Add(p) |> ignore
+
+ member this.Remove (value: byte) (p: Point) =
+ let vi = int value
+ if q.[vi].Remove(p) && q.[vi].Count = 0
+ then
+ if vi = highest
+ then
+ highest <- highest - 1
+ while highest > lowest && q.[highest].Count = 0 do
+ highest <- highest - 1
+ elif vi - 1 = lowest
+ then
+ lowest <- lowest + 1
+ while lowest < highest && q.[lowest + 1].Count = 0 do
+ lowest <- lowest + 1
+
+ if highest = lowest // The queue is now empty.
+ then
+ highest <- -1
+ lowest <- size
+
+ member this.IsEmpty =
+ highest = -1
+
+ member this.Clear () =
+ while highest > lowest do
+ q.[highest].Clear()
+ highest <- highest - 1
+ highest <- -1
+ lowest <- size
+
+
+type private AreaState =
+ | Removed = 1
+ | Unprocessed = 2
+ | Validated = 3
+
+type private AreaOperation =
+ | Opening = 1
+ | Closing = 2
+
+[<AllowNullLiteral>]
+type private Area (elements: Points) =
+ member this.Elements = elements
+ member val Intensity = None with get, set
+ member val State = AreaState.Unprocessed with get, set
+
+let private areaOperation (img: Image<Gray, byte>) (area: int) (op: AreaOperation) =
+ let w = img.Width
+ let h = img.Height
+ let imgData = img.Data
+ let se = [| -1, 0; 0, -1; 1, 0; 0, 1 |]
+
+ let areas = List<Area>((if op = AreaOperation.Opening then findMaxima img else findMinima img) |> Seq.map Area)
+
+ let pixels: Area[,] = Array2D.create h w null
+ for m in areas do
+ for e in m.Elements do
+ pixels.[e.Y, e.X] <- m
+
+ let queue = PriorityQueue()
+
+ let addEdgeToQueue (elements: Points) =
+ for p in elements do
+ for i, j in se do
+ let ni = i + p.Y
+ let nj = j + p.X
+ let p' = Point(nj, ni)
+ if ni >= 0 && ni < h && nj >= 0 && nj < w && not (elements.Contains(p'))
+ then
+ queue.Add (imgData.[ni, nj, 0]) p'
+
+ // Reverse order is quicker.
+ for i in areas.Count - 1 .. -1 .. 0 do
+ let m = areas.[i]
+ if m.Elements.Count <= area && m.State <> AreaState.Removed
+ then
+ queue.Clear()
+ addEdgeToQueue m.Elements
+
+ let mutable intensity = if op = AreaOperation.Opening then queue.Max else queue.Min
+ let nextElements = Points()
+
+ let mutable stop = false
+ while not stop do
+ let intensity', p = if op = AreaOperation.Opening then queue.NextMax () else queue.NextMin ()
+ let mutable merged = false
+
+ if intensity' = intensity // The intensity doesn't change.
+ then
+ if m.Elements.Count + nextElements.Count + 1 > area
+ then
+ m.State <- AreaState.Validated
+ m.Intensity <- Some intensity
+ stop <- true
+ else
+ nextElements.Add(p) |> ignore
+
+ elif if op = AreaOperation.Opening then intensity' < intensity else intensity' > intensity
+ then
+ m.Elements.UnionWith(nextElements)
+ for e in nextElements do
+ pixels.[e.Y, e.X] <- m
+
+ if m.Elements.Count = area
+ then
+ m.State <- AreaState.Validated
+ m.Intensity <- Some (intensity')
+ stop <- true
+ else
+ intensity <- intensity'
+ nextElements.Clear()
+ nextElements.Add(p) |> ignore
+
+ else
+ let m' = pixels.[p.Y, p.X]
+ if m' <> null
+ then
+ if m'.Elements.Count + m.Elements.Count <= area
+ then
+ m'.State <- AreaState.Removed
+ for e in m'.Elements do
+ pixels.[e.Y, e.X] <- m
+ queue.Remove imgData.[e.Y, e.X, 0] e
+ addEdgeToQueue m'.Elements
+ m.Elements.UnionWith(m'.Elements)
+ let intensityMax = if op = AreaOperation.Opening then queue.Max else queue.Min
+ if intensityMax <> intensity
+ then
+ intensity <- intensityMax
+ nextElements.Clear()
+ merged <- true
+
+ if not merged
+ then
+ m.State <- AreaState.Validated
+ m.Intensity <- Some (intensity)
+ stop <- true
+
+ if not stop && not merged
+ then
+ for i, j in se do
+ let ni = i + p.Y
+ let nj = j + p.X
+ let p' = Point(nj, ni)
+ if ni < 0 || ni >= h || nj < 0 || nj >= w
+ then
+ m.State <- AreaState.Validated
+ m.Intensity <- Some (intensity)
+ stop <- true
+ elif not (m.Elements.Contains(p')) && not (nextElements.Contains(p'))
+ then
+ queue.Add (imgData.[ni, nj, 0]) p'
+
+ if queue.IsEmpty
+ then
+ if m.Elements.Count + nextElements.Count <= area
+ then
+ m.State <- AreaState.Validated
+ m.Intensity <- Some intensity'
+ m.Elements.UnionWith(nextElements)
+ stop <- true
+
+ for m in areas do
+ if m.State = AreaState.Validated
+ then
+ match m.Intensity with
+ | Some i ->
+ for p in m.Elements do
+ imgData.[p.Y, p.X, 0] <- i
+ | _ -> ()
+ ()
+
+
+let areaOpen (img: Image<Gray, byte>) (area: int) =
+ areaOperation img area AreaOperation.Opening
+
+let areaClose (img: Image<Gray, byte>) (area: int) =
+ areaOperation img area AreaOperation.Closing
+
+[<AllowNullLiteral>]
+type Island (cmp: IComparer<float32>) =
+ member val Shore = Heap.Heap<float32, Point>(cmp) with get
+ member val Level = 0.f with get, set
+ member val Surface = 0 with get, set
+
+
+let private areaOperationF (img: Image<Gray, float32>) (area: int) (op: AreaOperation) =
+ let w = img.Width
+ let h = img.Height
+ let earth = img.Data
+ let se = [| -1, 0; 0, -1; 1, 0; 0, 1 |]
+
+ let comparer = if op = AreaOperation.Opening
+ then { new IComparer<float32> with member this.Compare(v1, v2) = v1.CompareTo(v2) }
+ else { new IComparer<float32> with member this.Compare(v1, v2) = v2.CompareTo(v1) }
+
+ let ownership: Island[,] = Array2D.create h w null
+
+ // Initialize islands with their shore.
+ let islands = List<Island>()
+ let extremum = img |> if op = AreaOperation.Opening then findMaxima else findMinima
+ for e in extremum do
+ let island =
+ let p = e.First()
+ Island(comparer, Level = earth.[p.Y, p.X, 0], Surface = e.Count)
+ islands.Add(island)
+ let shorePoints = Points()
+ for p in e do
+ ownership.[p.Y, p.X] <- island
+ for i, j in se do
+ let ni = i + p.Y
+ let nj = j + p.X
+ let neighbor = Point(nj, ni)
+ if ni >= 0 && ni < h && nj >= 0 && nj < w && ownership.[ni, nj] = null && not (shorePoints.Contains(neighbor))
+ then
+ shorePoints.Add(neighbor) |> ignore
+ island.Shore.Add earth.[ni, nj, 0] neighbor
+
+ for island in islands do
+ let mutable stop = island.Shore.IsEmpty
+
+ // 'true' if 'p' is owned or adjacent to 'island'.
+ let ownedOrAdjacent (p: Point) : bool =
+ ownership.[p.Y, p.X] = island ||
+ (p.Y > 0 && ownership.[p.Y - 1, p.X] = island) ||
+ (p.Y < h - 1 && ownership.[p.Y + 1, p.X] = island) ||
+ (p.X > 0 && ownership.[p.Y, p.X - 1] = island) ||
+ (p.X < w - 1 && ownership.[p.Y, p.X + 1] = island)
+
+ while not stop && island.Surface < area do
+ let level, next = island.Shore.Max
+ let other = ownership.[next.Y, next.X]
+ if other = island // During merging, some points on the shore may be owned by the island itself -> ignored.
+ then
+ island.Shore.RemoveNext ()
+ else
+ if other <> null
+ then // We touching another island.
+ if island.Surface + other.Surface >= area
+ then
+ stop <- true
+ else // We can merge 'other' into 'surface'.
+ island.Surface <- island.Surface + other.Surface
+ island.Level <- if comparer.Compare(island.Level, other.Level) > 0 then island.Level else other.Level
+ for l, p in other.Shore do
+ let mutable currentY = p.Y + 1
+ while currentY < h && ownership.[currentY, p.X] = other do
+ ownership.[currentY, p.X] <- island
+ currentY <- currentY + 1
+ island.Shore.Add l p
+ other.Shore.Clear()
+
+ elif comparer.Compare(level, island.Level) > 0
+ then
+ stop <- true
+ else
+ island.Shore.RemoveNext ()
+ for i, j in se do
+ let ni = i + next.Y
+ let nj = j + next.X
+ if ni < 0 || ni >= h || nj < 0 || nj >= w
+ then
+ island.Surface <- Int32.MaxValue
+ stop <- true
+ else
+ let neighbor = Point(nj, ni)
+ if not <| ownedOrAdjacent neighbor
+ then
+ island.Shore.Add earth.[ni, nj, 0] neighbor
+ if not stop
+ then
+ ownership.[next.Y, next.X] <- island
+ island.Level <- level
+ island.Surface <- island.Surface + 1
+
+ for i in 0 .. h - 1 do
+ for j in 0 .. w - 1 do
+ let island = ownership.[i, j]
+ if island <> null
+ then
+ earth.[i, j, 0] <- island.Level
+ ()
+
+
+let areaOpenF (img: Image<Gray, float32>) (area: int) =
+ areaOperationF img area AreaOperation.Opening
+
+let areaCloseF (img: Image<Gray, float32>) (area: int) =
+ areaOperationF img area AreaOperation.Closing
+
+// A simpler algorithm than 'areaOpen' but slower.
+let areaOpen2 (img: Image<Gray, byte>) (area: int) =
+ let w = img.Width
+ let h = img.Height
+ let imgData = img.Data
+ let se = [| -1, 0; 0, -1; 1, 0; 0, 1 |]
+
+ let histogram = Array.zeroCreate 256
+ for i in 0 .. h - 1 do
+ for j in 0 .. w - 1 do
+ let v = imgData.[i, j, 0] |> int
+ histogram.[v] <- histogram.[v] + 1
+
+ let flooded : bool[,] = Array2D.zeroCreate h w
+
+ let pointsChecked = HashSet<Point>()
+ let pointsToCheck = Stack<Point>()
+
+ for level in 255 .. -1 .. 0 do
+ let mutable n = histogram.[level]
+ if n > 0
+ then
+ for i in 0 .. h - 1 do
+ for j in 0 .. w - 1 do
+ if not flooded.[i, j] && imgData.[i, j, 0] = byte level
+ then
+ let mutable maxNeighborValue = 0uy
+ pointsChecked.Clear()
+ pointsToCheck.Clear()
+ pointsToCheck.Push(Point(j, i))
+
+ while pointsToCheck.Count > 0 do
+ let next = pointsToCheck.Pop()
+ pointsChecked.Add(next) |> ignore
+ flooded.[next.Y, next.X] <- true
+
+ for nx, ny in se do
+ let p = Point(next.X + nx, next.Y + ny)
+ if p.X >= 0 && p.X < w && p.Y >= 0 && p.Y < h
+ then
+ let v = imgData.[p.Y, p.X, 0]
+ if v = byte level
+ then
+ if not (pointsChecked.Contains(p))
+ then
+ pointsToCheck.Push(p)
+ elif v > maxNeighborValue
+ then
+ maxNeighborValue <- v
+
+ if int maxNeighborValue < level && pointsChecked.Count <= area
+ then
+ for p in pointsChecked do
+ imgData.[p.Y, p.X, 0] <- maxNeighborValue
+
+
// Zhang and Suen algorithm.
// Modify 'mat' in place.
let thin (mat: Matrix<byte>) =
data2 <- tmp
-let pop (l: List<'a>) : 'a =
- let n = l.[l.Count - 1]
- l.RemoveAt(l.Count - 1)
- n
-
// Remove all 8-connected pixels with an area equal or greater than 'areaSize'.
// Modify 'mat' in place.
let removeArea (mat: Matrix<byte>) (areaSize: int) =
for j in 0..w-1 do
if data'.[i, j] = 1uy
then
- let neighborhood = List<(int*int)>()
- let neighborsToCheck = List<(int*int)>()
- neighborsToCheck.Add((i, j))
+ let neighborhood = List<Point>()
+ let neighborsToCheck = Stack<Point>()
+ neighborsToCheck.Push(Point(j, i))
data'.[i, j] <- 0uy
while neighborsToCheck.Count > 0 do
- let (ci, cj) = pop neighborsToCheck
- neighborhood.Add((ci, cj))
+ let n = neighborsToCheck.Pop()
+ neighborhood.Add(n)
for (ni, nj) in neighbors do
- let pi = ci + ni
- let pj = cj + nj
+ let pi = n.Y + ni
+ let pj = n.X + nj
if pi >= 0 && pi < h && pj >= 0 && pj < w && data'.[pi, pj] = 1uy
then
- neighborsToCheck.Add((pi, pj))
+ neighborsToCheck.Push(Point(pj, pi))
data'.[pi, pj] <- 0uy
if neighborhood.Count <= areaSize
then
- for (ni, nj) in neighborhood do
- data.[ni, nj] <- 0uy
+ for n in neighborhood do
+ data.[n.Y, n.X] <- 0uy
let connectedComponents (img: Image<Gray, byte>) (startPoints: List<Point>) : List<Point> =
let w = img.Width
let h = img.Height
- let pointChecked = HashSet<Point>()
- let pointToCheck =
List<Point>(startPoints);
+ let pointChecked = Points()
+ let pointToCheck =
Stack<Point>(startPoints);
let data = img.Data
while pointToCheck.Count > 0 do
- let next = pop pointToCheck
+ let next = pointToCheck.Pop()
pointChecked.Add(next) |> ignore
for ny in -1 .. 1 do
for nx in -1 .. 1 do
let p = Point(next.X + nx, next.Y + ny)
if p.X >= 0 && p.X < w && p.Y >= 0 && p.Y < h && data.[p.Y, p.X, 0] > 0uy && not (pointChecked.Contains p)
then
- pointToCheck.Add(p)
+ pointToCheck.Push(p)
List<Point>(pointChecked)
-let saveImg (img: Image<'TColor, 'TDepth>) (filepath: string) =
- img.Save(filepath)
-
+let drawLine (img: Image<'TColor, 'TDepth>) (color: 'TColor) (x0: int) (y0: int) (x1: int) (y1: int) (thickness: int) =
+ img.Draw(LineSegment2D(Point(x0, y0), Point(x1, y1)), color, thickness);
-let saveMat (mat: Matrix<'TDepth>) (filepath: string) =
- use img = new Image<Gray, 'TDeph>(mat.Size)
- mat.CopyTo(img)
- saveImg img filepath
-let drawLine (img: Image<'TColor, 'TDepth>) (color: 'TColor) (x0: int) (y0: int) (x1: int) (y1: int) =
- img.Draw(LineSegment2D(Point(x0, y0), Point(x1, y1)), color, 1);
+let drawLineF (img: Image<'TColor, 'TDepth>) (color: 'TColor) (x0: float) (y0: float) (x1: float) (y1: float) (thickness: int) =
+ img.Draw(LineSegment2DF(PointF(float32 x0, float32 y0), PointF(float32 x1, float32 y1)), color, thickness, CvEnum.LineType.AntiAlias);
-let drawLineF (img: Image<'TColor, 'TDepth>) (color: 'TColor) (x0: float) (y0: float) (x1: float) (y1: float) =
- let x0, y0, x1, y1 = roundInt(x0), roundInt(y0), roundInt(x1), roundInt(y1)
- drawLine img color x0 y0 x1 y1
-let drawEllipse (img: Image<'TColor, 'TDepth>) (e: Types.Ellipse) (color: 'TColor) =
- let cosAlpha = cos e.Alpha
- let sinAlpha = sin e.Alpha
+let drawEllipse (img: Image<'TColor, 'TDepth>) (e: Types.Ellipse) (color: 'TColor) (alpha: float) =
- let mutable x0 = 0.0
- let mutable y0 = 0.0
- let mutable first_iteration = true
+ if alpha >= 1.0
+ then
+ img.Draw(Ellipse(PointF(float32 e.Cx, float32 e.Cy), SizeF(2. * e.B |> float32, 2. * e.A |> float32), float32 <| e.Alpha / Math.PI * 180.), color, 1, CvEnum.LineType.AntiAlias)
+ else
+ let windowPosX = e.Cx - e.A - 5.0
+ let gapX = windowPosX - (float (int windowPosX))
- let n = 40
- let thetaIncrement = 2.0 * Math.PI / (float n)
+ let windowPosY = e.Cy - e.A - 5.0
+ let gapY = windowPosY - (float (int windowPosY))
- for theta in 0.0 .. thetaIncrement .. 2.0 * Math.PI do
- let cosTheta = cos theta
- let sinTheta = sin theta
- let x = e.Cx + cosAlpha * e.A * cosTheta - sinAlpha * e.B * sinTheta
- let y = e.Cy + sinAlpha * e.A * cosTheta + cosAlpha * e.B * sinTheta
+ let roi = Rectangle(int windowPosX, int windowPosY, 2. * (e.A + 5.0) |> int, 2.* (e.A + 5.0) |> int)
- if not first_iteration
+ img.ROI <- roi
+ if roi = img.ROI // We do not display ellipses touching the edges (FIXME)
then
- drawLineF img color x0 y0 x y
- else
- first_iteration <- false
+ use i = new Image<'TColor, 'TDepth>(img.ROI.Size)
+ i.Draw(Ellipse(PointF(float32 <| (e.A + 5. + gapX) , float32 <| (e.A + 5. + gapY)), SizeF(2. * e.B |> float32, 2. * e.A |> float32), float32 <| e.Alpha / Math.PI * 180.), color, 1, CvEnum.LineType.AntiAlias)
+ CvInvoke.AddWeighted(img, 1.0, i, alpha, 0.0, img)
+ img.ROI <- Rectangle.Empty
- x0 <- x
- y0 <- y
-let drawEllipses (img: Image<'TColor, 'TDepth>) (ellipses: Types.Ellipse list) (color: 'TColor) =
- List.iter (fun e -> drawEllipse img e color) ellipses
+let drawEllipses (img: Image<'TColor, 'TDepth>) (ellipses: Types.Ellipse list) (color: 'TColor) (alpha: float) =
+ List.iter (fun e -> drawEllipse img e color alpha) ellipses
let rngCell = System.Random()
img.Data.[y + dy, x + dx, 1] <- if g + colorG > 255 then 255uy else byte (g + colorG)
img.Data.[y + dy, x + dx, 2] <- if r + colorR > 255 then 255uy else byte (r + colorR)
- let crossColor = match c.cellClass with
- | Types.HealthyRBC -> Bgr(255.0, 0.0, 0.0)
- | Types.InfectedRBC -> Bgr(0.0, 0.0, 255.0)
- | Types.Peculiar -> Bgr(0.0, 0.0, 0.0)
+ let crossColor, crossColor2 =
+ match c.cellClass with
+ | Types.HealthyRBC -> Bgr(255., 0., 0.), Bgr(255., 255., 255.)
+ | Types.InfectedRBC -> Bgr(0., 0., 255.), Bgr(120., 120., 255.)
+ | Types.Peculiar -> Bgr(0., 0., 0.), Bgr(80., 80., 80.)
+
+ drawLine img crossColor2 (c.center.X - 3) c.center.Y (c.center.X + 3) c.center.Y 2
+ drawLine img crossColor2 c.center.X (c.center.Y - 3) c.center.X (c.center.Y + 3) 2
+
+ drawLine img crossColor (c.center.X - 3) c.center.Y (c.center.X + 3) c.center.Y 1
+ drawLine img crossColor c.center.X (c.center.Y - 3) c.center.X (c.center.Y + 3) 1
- drawLine img crossColor (c.center.X - 3) c.center.Y (c.center.X + 3) c.center.Y
- drawLine img crossColor c.center.X (c.center.Y - 3) c.center.X (c.center.Y + 3)
let drawCells (img: Image<Bgr, byte>) (drawCellContent: bool) (cells: Types.Cell list) =
List.iter (fun c -> drawCell img drawCellContent c) cells
\ No newline at end of file
projects / master-thesis.git / blobdiff