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Thresholds an image with a hysteresis, i.e. with a lower threshold for neighboring pixels.
| Name | Type | Range | Description | |
|---|---|---|---|---|
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inImage | Image | Input image | |
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inRoi | Region* | Region of interest | |
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inMinValue | Real* | Minimum value of a pixel that is considered foreground (Auto = -INF) | |
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inMaxValue | Real* | Maximum value of a pixel that is considered foreground (Auto = +INF) | |
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inHysteresis | Real | 0.0 - ![]() |
Defines how much the threshold criteria are lowered for pixels neighboring with other foreground pixels |
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outMonoImage | Image | ||
Description
The operation transforms each pixel value to the maximum or minimum level thus creating binary image. The result of the transformation depends on the pixel intensity:
- Pixel values in range [inMinValue, inMaxValue] are transformed to the maximum level.
- Pixel values lower than inMinValue-inHysteresis or higher than inMaxValue+inHysteresis are transformed to the minimum level.
- Pixel values in range [inMinValue-inHysteresis, inMinValue) or in range (inMaxValue, inMaxValue+inHysteresis] are transformed to the maximum if (and only if) in the processed image there is a path of consecutive pixels of value in range [inMinValue-inHysteresis, inMaxValue+inHysteresis] that connects the pixel being considered and any pixel with value in range [inMinValue, inMaxValue].
In the multichannel images the operation uses an average of channel values in each pixel, thus the resulting image is always monochromatic.
Hints
- Define inMinValue to extract bright objects (brighter than the specified value).
- Define inMaxValue to extract dark objects (darker than the specified value).
- Use inHysteresis to allow weaker threshold for pixels neighboring with already extracted ones.
Examples
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ThresholdImage_Hysteresis performed on the sample image with inMinValue = 110.0, inMaxValue = Nil, inHysteresis = 15.0.
![]() Pixels of the sample image brighter than 110.0. |
![]() Pixels of the sample image brighter than 95.0. |
Complexity Level
This filter is available on Advanced Complexity Level.
Filter Group
This filters is member of ThresholdImage filter group.







