F_VN_ReferenceColorSimilarity_ITcVnColorModel
Computes the similarity to a reference color model for each pixel in the source image.
Can use available TwinCAT Job Tasks for executing parallel code regions.
Can return partial results when canceled by Watchdog.
Syntax
Definition:
FUNCTION F_VN_ReferenceColorSimilarity_ITcVnColorModel : HRESULT
VAR_INPUT
ipSrcImage : ITcVnImage;
ipDestImage : Reference To ITcVnImage;
ipColorModel : ITcVnColorModel;
hrPrev : HRESULT;
END_VAR
Inputs
Name |
Type |
Description |
---|---|---|
ipSrcImage |
RGB source image (USINT, 3 channels) | |
ipDestImage |
Reference To ITcVnImage |
Returns the similarity to ipColorModel for each pixel in ipSrcImage (USINT, 1 channel. An appropriate destination image will be created if required.) |
ipColorModel |
Color model | |
hrPrev |
HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.) |
Further information
There are three ways to pass the reference color to the corresponding function:
- As a trained color model of the type
ITcVnColorModel
- As a trained color model of the type
ITcVnMlModel
- Directly with values in a
TcVnVector3_LREAL
,
To train a color model, a corresponding F_VN_TrainImageColor function must be used. The two color models differ only in the data type, functionally there are no differences. The ITcVnMlModel
is the general data type for ML models for which there are also function blocks for loading and saving. Therefore, this data type and the corresponding functions should be used if the trained color model is to be saved to disk.
Samples
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 |