doc: update multicut screenshots

ilastik · Sep 25, 2023 · b3c28cb · b3c28cb
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diff --git a/README.md b/README.md
@@ -192,7 +192,7 @@ A basic macro example for running object classification on a single image can be
 ### Boundary-based Segmentation with Multicut
 Found at `Plugins -> ilastik -> Run Multicut`.
 
-![Multicut Dialog](./doc/screenshots/multicut-dialog.png)
+![Multicut Dialog](./doc/screenshots/IJ-mc-dialog.png)
 
 **Inputs:**
 
@@ -204,10 +204,7 @@ Found at `Plugins -> ilastik -> Run Multicut`.
 
 * a new integer value image (label image) where the pixels belonging to the same object have the same value.
   The example image below shows (left to right) raw data, boundary probability map, and multicut segmentation result (with applied LUT).
-  ![Multicut Output](./doc/screenshots/MC-output.png)
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+  ![Multicut Output](./doc/screenshots/IJ-mc-output.png)
 
 
 ### Tracking

diff --git a/doc/screenshots/IJ-MC-dialog.png b/doc/screenshots/IJ-MC-dialog.png
diff --git a/doc/screenshots/IJ-MC-output.png b/doc/screenshots/IJ-MC-output.png
diff --git a/doc/screenshots/MC-output.png b/doc/screenshots/MC-output.png
diff --git a/doc/screenshots/multicut-dialog.png b/doc/screenshots/multicut-dialog.png