Intensity Threshold Segmenter
Allows the segments detection using one of the available automatic threshold methods.

Intensity Threshold Segmenter parameters
By default, the Method: Auto is selected. Depending on the selection, different parameters are available.
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Parameter |
Description |
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|---|---|---|
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Channel |
Sets the processing and analysis target channel. |
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Method |
Sets the threshold algorithm. By default, Auto is selected. |
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– |
Simple |
This method uses a single threshold and segments everything below or above it. |
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– |
Range |
This method uses two Thresholds to define the range of intensities to segment. Everything outside of this range is neglected. |
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– |
Percentile |
This method uses a single threshold and segments all intensities below or above it. The threshold is given as a percentile and is based on the data. |
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– |
Percentile range |
This method uses two thresholds to define the range of intensities to segment. Everything outside of this range is neglected. The thresholds are given as percentiles and are based on the data. |
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– |
Auto |
This method uses a single threshold and segments all intensities below or above it. The threshold is automatically calculated based on the data. |
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– |
Adaptive mean |
This method uses local information around each pixel to set a threshold in relation to the local background. It is based on Niblack's thresholding method. |
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– |
Mean |
This method uses local information around each pixel to set a threshold in relation to the local background. |
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Object type |
Sets whether to select light or dark objects, i.e., whether the threshold value should be below or above. |
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– |
Bright |
Selects the bright objects. This is good for images with a dark background. |
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– |
Dark |
Selects the dark objects. This is good for images with a bright background. |
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Thresholder |
Sets the auto algorithm to be used. |
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– |
Otsu |
The algorithm maximizes the inter-class variance. |
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– |
Huang |
The fuzzing threshold algorithm using the Shannon's entropy function. |
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– |
Li |
The algorithm minimizes the cross-entropy. |
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– |
Yen |
The algorithm is a 2-factor criterion-based automatic multilevel thresholding. |
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Range |
Sets the extent of the input data for the automatic threshold calculation. |
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– |
Plane |
For each plane of the image set an individual threshold is calculated. |
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– |
Time point |
For each time point of the image set an individual threshold is calculated. |
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– |
Image set |
For the whole image set only one threshold is calculated. |