ThresholdImage_Color
Transforms each pixel value to maximum or minimum depending on the distance from a given color.
Applications:Color analysis with a given reference color.
Syntax
C++
C#
Python
def ThresholdImage_Color( inImage: Image, outMonoImage: Image, /, *, inRoi: Region | None = None, inRgbColor: Pixel = Pixel(0, 0, 0, 0), inChromaAmount: float = 0.7, inMaxDifference: float = 5.0, inFuzziness: float = 0.0 ) -> None
Parameters
| Name | Type | Range | Default | Description | |
|---|---|---|---|---|---|
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inImage | Image | Input image | ||
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inRoi | Region | None | None | Region of interest | |
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inRgbColor | Pixel | Pixel(0, 0, 0, 0) | Color to compare the image to | |
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inChromaAmount | float | 0.0 - 1.0 | 0.7 | Proportion of chromatic information in distance computation |
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inMaxDifference | float | 0.0 - ![]() |
5.0 | Maximum difference between image pixel and model color |
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inFuzziness | float | 0.0 - ![]() |
0.0 | A tolerance for computed difference that results in intermediate output values |
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outMonoImage | Image |
Hardware Acceleration
This operation is optimized for SSE2 technology for pixels of types: 1xUINT8 (for inFuzziness = 0), 3xUINT8 (for inFuzziness = 0).
This operation is optimized for NEON technology for pixels of types: 1xUINT8 (for inFuzziness = 0), 3xUINT8 (for inFuzziness = 0).
This operation supports automatic parallelization for multicore and multiprocessor systems.



