Intellesis Segmentation Tool
|
Parameter |
Description |
|
|---|---|---|
|
Model |
Shows the selected model. If you have several models available, you can select the corresponding model from the drop-down list. |
|
|
|
||
|
– |
New |
Creates a new, empty model, see Creating and Training an Intellesis Segmentation Model. |
|
– |
Rename |
Renames an existing model, see Renaming an Intellesis Segmentation Model. |
|
– |
Clone |
Clones (duplicates) an existing model, see Cloning an Intellesis Segmentation Model. |
|
– |
Create Analysis Setting |
Creates and stores a *.czias file in the specific folder for image analysis settings, see Creating an Image Analysis Setting from an Intellesis Segmentation Model. The file can then be used in the Analysis Wizard. |
|
– |
Import |
Imports a model to the ZEN software, see Importing an Intellesis Segmentation Model. |
|
– |
Export |
Exports the model to the file system, see Exporting an Intellesis Segmentation Model. |
|
– |
Export With Images |
Exports the model including all images to the file system, see Exporting an Intellesis Segmentation Model with Images. |
|
– |
Delete |
Deletes an existing model, see Deleting an Intellesis Segmentation Model. |
|
– |
Change Border Size |
Only available for deep learning networks. |
|
Description |
Displays a description of the selected model. |
|
|
Postprocessing |
Selects a postprocessing, see Postprocessing Options |
|
|
– |
No Postprocessing |
No postprocessing will be applied on the images. |
|
– |
Conditional Random Field |
If selected, this post processing function is applied to the output of the pixel classification. The CRF algorithm tries to create smoother and shaper borders between objects by re-classifying pixels based on confidence levels in their neighborhood. |
|
Start Training |
Opens the Training UI, see Training User Interface Intellesis Segmentation. |
|