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Parameter |
Description |
|---|---|
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Threshold slider |
Adjusts the minimum confidence level in %. |
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Parameter |
Description |
|---|---|
|
Threshold slider |
Adjusts the minimum confidence level in %. |
This method allows you to apply a trained segmentation model to an image/data set.
|
Parameter |
Description |
|
|---|---|---|
|
Model |
Select the trained model here. |
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|
Output Format |
When applying the processing function to an image you always get two output images. The processed image and the confidence map. The following output formats for the processed image are available. |
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|
- |
Multi-Channel |
If selected, the output image will be a multi-channel image. Each class which is defined within the model will result in a separate channel. |
|
- |
Labels |
If selected, the output image will be a single-channel image. |
Here you can convert an output image generated with the Segmentation IP function according to your needs:
|
Parameter |
Description |
|---|---|
|
Labels to Channels |
Converts the resulting image with the output format "Labels" to a multi-channel image. |
|
Channels to Labels |
Converts the resulting image with the output format "Multi-Channel" to an image containing a single channel image with labels. Under Parameters you can additionally adjust the Unlabeled Pixel Value and the Output Pixel Type (8 Bit B/W or 16 Bit B/W). |