TrainImageColor

Create a new color model, describing the image color.
Can use available TwinCAT Job Tasks for executing parallel code regions.
Can return partial results when canceled by Watchdog.

Syntax

Definition:

HRESULT TrainImageColor(
    HRESULT                  hrPrev,
    ITcVnImage*              ipSrcImage,
    ITcVnColorModel*&        ipColorModel,
    ULONG                    nDifferentColors,
    ETcVnColorTrainingMethod eMethod = CTM_LAB,
    ITcVnImage*              ipMask = nullptr,
    ULONG                    nSkipPixels = 0,
    ETcVnClusteringAlgorithm eClusteringAlgorithm = CA_KMEANSPP,
    LONG                     nMaxClusterRadius = 50,
    bool                     bSingleSplitSteps = true
)

Parameters

Name	Type	Default	Description
hrPrev	HRESULT		HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.)
ipSrcImage	ITcVnImage*		Source image (3 channels (RGB) of type USINT)
ipColorModel	ITcVnColorModel*&		Returns the color model
nDifferentColors	ULONG		Maximum number of different colors to distinguish (if LBG is used as a clustering algorithm, the result might have less different colors, depending on nMaxClusterRadius)
eMethod	ETcVnColorTrainingMethod	CTM_LAB	Color training method
ipMask	ITcVnImage*	nullptr	Optional image mask (1 channel of type USINT, set to 0 if not required)
nSkipPixels	ULONG	0	Number of pixels to skip between each evaluated color sample (to achieve a better performance). 0 takes every pixel into account and tends to be more accurate.
eClusteringAlgorithm	ETcVnClusteringAlgorithm	CA_KMEANSPP	Clustering algorithm
nMaxClusterRadius	LONG	50	Only used for the LBG clustering algorithm. Maximum allowed radius (> 0) of a single cluster, i.e. clusters with a higher radius will be split into smaller ones, until a global number of nDifferentColors is reached.
bSingleSplitSteps	bool	true	Only used for the LBG clustering algorithm. If true, the global optimization is always run after a single cluster has been split. If false, several clusters are split within the same step before applying the global optimization. Applying the global optimization less often is faster, but can lead to less optimal results, especially having 2 nearby clusters that could be represented by 1)

Return value

HRESULT

Required License

TC3 Vision Base

System Requirements

Development environment	Target platform	PLC libraries to include
TwinCAT V3.1.4024.54 or later	PC or CX (x64) with PL50, e.g. Intel 4-core Atom CPU	Tc3_Vision