RNGFill Method (IInputOutputArray, RNGDistType, MCvScalar, MCvScalar, Boolean)

public void Fill(
	IInputOutputArray mat,
	RNGDistType distType,
	MCvScalar a,
	MCvScalar b,
	bool saturateRange = false
)

Public Sub Fill ( 
	mat As IInputOutputArray,
	distType As RNGDistType,
	a As MCvScalar,
	b As MCvScalar,
	Optional saturateRange As Boolean = false
)

public:
void Fill(
	IInputOutputArray^ mat, 
	RNGDistType distType, 
	MCvScalar a, 
	MCvScalar b, 
	bool saturateRange = false
)

member Fill : 
        mat : IInputOutputArray * 
        distType : RNGDistType * 
        a : MCvScalar * 
        b : MCvScalar * 
        ?saturateRange : bool 
(* Defaults:
        let _saturateRange = defaultArg saturateRange false
*)
-> unit 

Parameters

mat

Type: Emgu.CVIInputOutputArray
2D or N-dimensional matrix; currently matrices with more than 4 channels are not supported by the methods, use Mat::reshape as a possible workaround.

distType

Type: Emgu.CVRNGDistType
distribution type

a

Type: Emgu.CV.StructureMCvScalar
First distribution parameter; in case of the uniform distribution, this is an inclusive lower boundary, in case of the normal distribution, this is a mean value.

b

Type: Emgu.CV.StructureMCvScalar
Second distribution parameter; in case of the uniform distribution, this is a non-inclusive upper boundary, in case of the normal distribution, this is a standard deviation (diagonal of the standard deviation matrix or the full standard deviation matrix).

saturateRange (Optional)

Type: SystemBoolean
Pre-saturation flag; for uniform distribution only; if true, the method will first convert a and b to the acceptable value range (according to the mat datatype) and then will generate uniformly distributed random numbers within the range [saturate(a), saturate(b)), if saturateRange=false, the method will generate uniformly distributed random numbers in the original range [a, b) and then will saturate them

Reference