+let normalize (img: Image<Gray, float32>) (upperLimit: float) : Image<Gray, float32> =
+ let min = ref [| 0.0 |]
+ let minLocation = ref <| [| Point() |]
+ let max = ref [| 0.0 |]
+ let maxLocation = ref <| [| Point() |]
+ img.MinMax(min, max, minLocation, maxLocation)
+ let normalized = (img - (!min).[0]) / ((!max).[0] - (!min).[0])
+ if upperLimit = 1.0
+ then normalized
+ else upperLimit * normalized
+
+let mergeChannels (img: Image<Bgr, float32>) (rgbWeights: float * float * float) : Image<Gray, float32> =
+ match rgbWeights with
+ | 1., 0., 0. -> img.[2]
+ | 0., 1., 0. -> img.[1]
+ | 0., 0., 1. -> img.[0]
+ | redFactor, greenFactor, blueFactor ->
+ let result = new Image<Gray, float32>(img.Size)
+ CvInvoke.AddWeighted(result, 1., img.[2], redFactor, 0., result)
+ CvInvoke.AddWeighted(result, 1., img.[1], greenFactor, 0., result)
+ CvInvoke.AddWeighted(result, 1., img.[0], blueFactor, 0., result)
+ result
+
+let mergeChannelsWithProjection (img: Image<Bgr, float32>) (v1r: float32, v1g: float32, v1b: float32) (v2r: float32, v2g: float32, v2b: float32) (upperLimit: float) : Image<Gray, float32> =
+ let vr, vg, vb = v2r - v1r, v2g - v1g, v2b - v1b
+ let vMagnitude = sqrt (vr ** 2.f + vg ** 2.f + vb ** 2.f)
+ let project (r: float32) (g: float32) (b: float32) = ((r - v1r) * vr + (g - v1g) * vg + (b - v1b) * vb) / vMagnitude
+ let result = new Image<Gray, float32>(img.Size)
+ // TODO: Essayer en bindant Data pour gagner du temps
+ for i in 0 .. img.Height - 1 do
+ for j in 0 .. img.Width - 1 do
+ result.Data.[i, j, 0] <- project img.Data.[i, j, 2] img.Data.[i, j, 1] img.Data.[i, j, 0]
+ normalize result upperLimit
+