improved features_analysis.py and add new parameter to nutrimorph.py

nutrimorph.py

@@ -79,6 +79,7 @@ data_path = None
 channel = None
 save_images = None
 save_csv = None
+save_features_analysis = None
 dilatation_erosion = None
 size_voxel_in_micron = None
 statistical_analysis = None
@@ -662,7 +663,7 @@ if __name__ == '__main__':
 
         # Clustering with this df and module features_analysis.py
         if statistical_analysis:
-            os_.system(f"feature_analysis.py {save_csv}\\features.csv")
+            os_.system(f"feature_analysis.py {save_csv}\\features.csv {save_features_analysis}")
 
     else:
         raise ImportError("Not a valid data path!")

parameters.ini

@@ -62,6 +62,7 @@ save_images                :    \\path_where_to_save_MIP_and_graphs
 ; if None, no saving. Otherwise, path where to save images (MIP & graphs)
 save_csv                   :    \\path_where_to_save_features_csv
 ; where to save the csv. if None, by default it is in the .tif directory
+save_features_analysis     :    \\path_where_to_save_features_analysis_graphs_and_csv
 dilatation_erosion         :    True
 ; Choose whether to perform erosion/dilation on the extensions during the connexion process.
 ; Better results are achieved with it, and doing dilatation_erosion is theoretically more rigorous

search_parameters.py

@@ -55,6 +55,7 @@ size_voxel_in_micron = IfNotFloat('Input', 'size_voxel_in_micron')
 dilatation_erosion = parameters.getboolean('Input', 'dilatation_erosion')
 save_images = parameters['Input']['save_images']
 save_csv = parameters['Input']['save_csv']
+save_features_analysis = parameters['Input']['save_features_analysis']
 statistical_analysis = parameters.getboolean('Input', 'statistical_analysis')
 
 # [Somas]