[Paraview] How find local maxima of a scalar field in a slice
Caffagni, Andrea
Andrea.Caffagni at ferrari.com
Mon Apr 16 07:25:49 EDT 2018
Dear Jean,
Thanks for your suggestions.
If I have understood correctly, your method can works only in the case in which I have only a maxima like this case:
https://upload.wikimedia.org/wikipedia/commons/c/ce/Gaussian_2d.png
But if I have to find the local maxima in this case:
https://www.mathworks.com/matlabcentral/mlc-downloads/downloads/submissions/27178/versions/6/previews/html/psPeaksExample.html
in which I have three different local max peaks, your method can works correctly?
Best regards,
Andrea
From: Favre Jean [mailto:jfavre at cscs.ch]
Sent: Monday, April 16, 2018 09:38
To: Caffagni, Andrea; paraview at public.kitware.com
Subject: RE: How find local maxima of a scalar field in a slice
use the Edit->Find Data menu
Select Points or Cells.
Select the "from" object (your slice's name)
Select the variable name
Select "is max"
Click on "Run Selection Query"
-----------------
Jean/CSCS
_________________________________________________________________________________________________________________
Questo messaggio è da intendersi esclusivamente ad uso del destinatario e può contenere informazioni che sono di natura privilegiata, confidenziale o non divulgabile secondo le leggi vigenti. Se il lettore del presente messaggio non è il destinatario designato, o il dipendente/agente responsabile per la consegna del messaggio al destinatario designato, si informa che ogni disseminazione, distribuzione o copiatura di questa comunicazione è vietata anche ai sensi della normativa vigente in materia di protezione dei dati personali. Se avete ricevuto questo messaggio per errore, vi preghiamo di notificarcelo immediatamente a mezzo e-mail di risposta e successivamente di procedere alla cancellazione di questa e-mail e relativi allegati dal vostro sistema.
_________________________________________________________________________________________________________________
This message is intended only for the use of the addressee and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, or the employee or agent responsible for delivering the message to the intended recipient, you are hereby notified that any dissemination, distribution or copying of this communication is prohibited under the applicable data protection law. If you have received this e-mail by mistake, please notify us immediately by return e-mail and delete this e-mail and all attachments from your system.
_________________________________________________________________________________________________________________
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://public.kitware.com/pipermail/paraview/attachments/20180416/e94bd03b/attachment.html>
More information about the ParaView
mailing list