feat: Add threshold information in layer annotation in the Multiple Otsu ROI extraction method (#430)

Author: Czaki

package/PartSeg/common_gui/napari_image_view.py

@@ -733,7 +733,10 @@ def get_tool_tip_text(self) -> str:
         for el in self.components:
             data = image_info.roi_info.annotations.get(el, {})
             if data:
-                text_list.append(_print_dict(data))
+                try:
+                    text_list.append(_print_dict(data))
+                except ValueError:  # pragma: no cover
+                    logging.warning("Wrong value provided as layer annotation.")
         return " ".join(text_list)
 
     def event(self, event: QEvent):

package/PartSegCore/segmentation/restartable_segmentation_algorithms.py

@@ -546,6 +546,7 @@ def calculation_run(self, report_fun):
         res = SimpleITK.GetArrayFromImage(res)
         self._sizes_array = np.bincount(res.flat)[1:]
         self.threshold_info = []
+        annotations = {}
         for i in range(1, self.new_parameters["components"] + 1):
             val = cleaned_image[res == i]
             if val.size:
@@ -554,10 +555,15 @@ def calculation_run(self, report_fun):
                 self.threshold_info.append(self.threshold_info[-1])
             else:
                 self.threshold_info.append(0)
+            annotations[i] = {"lower threshold": self.threshold_info[-1]}
+            if i > 1:
+                annotations[i - 1]["upper threshold"] = self.threshold_info[-1]
+        annotations[self.new_parameters["components"]]["upper threshold"] = np.max(cleaned_image)
         return ROIExtractionResult(
             roi=res,
             parameters=self.get_segmentation_profile(),
             additional_layers={"denoised_image": AdditionalLayerDescription(data=cleaned_image, layer_type="image")},
+            roi_annotation=annotations,
         )
 
     def get_info_text(self):