The following operations are part of the pipeline.
The following operations are part of the pipeline.
This operation allows to select the region of interest (ROI). ROI defines the dataset subarea that will be processed and analyzed by the pipeline.
Set of operations performing noise reduction. Choose the more suitable method based on your sample and define the diameter.
Allows the segments detection using one of the available automatic threshold methods.
By default, the Method: Range is selected. Depending on the selection, different parameters are available.
Parameter |
Description |
|
---|---|---|
Channel |
Sets the processing and analysis target channel. |
|
Method |
Sets the threshold algorithm. By default, Auto is selected. |
|
– |
Simple |
This method uses a single threshold and segments everything below or above it. |
– |
Range |
This method uses two Thresholds to define the range of intensities to segment. Everything outside of this range is neglected. |
– |
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. |
– |
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. |
– |
Auto |
This method uses a single threshold and segments all intensities below or above it. The threshold is automatically calculated based on the data. |
– |
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. |
– |
Mean |
This method uses local information around each pixel to set a threshold in relation to the local background. |
Threshold |
Sets the threshold values accordingly to the image dynamic range. |
Store the detected segments (tag) in the active dataset.