<div dir="ltr"><span style="font-size:12.8px">Hi Sairamya,</span><div style="font-size:12.8px"><br></div><div style="font-size:12.8px">It seems technically plausible, considering the description of lacunarity in <a href="http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Quan_Lacunarity_Analysis_on_2014_CVPR_paper.pdf" target="_blank">http://www.cv-foundation.<wbr>org/openaccess/content_cvpr_<wbr>2014/papers/Quan_Lacunarity_<wbr>Analysis_on_2014_CVPR_paper.<wbr>pdf</a></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px">I suppose you'd either need to save the topography plots as images, and perform the analyses on the image, or save the underlying data matrix that informs the topographic plot, which is fairly straightforward to extract as an output from the "topoplot" function that creates the image.</div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px">As to whether the lacunarity will be meaningful..that's another question. It seems from my experience that the most meaningful topographies (the ones that reflect clear point-source neural or artifactual components or scalp activations) are the least interesting as images. These most meaningful components typically have minimal changes in their topographic plots, from pixel to pixel, except for at the borders where the emanating voltage changes dissipate or reverse. The components that have wilder, more varied, mottled and speckled scalp topographies might exhibit higher lacunarity. They might thus be more amenable to such lacunarity spectrum image processing methods. But these more variegated topographic plots themselves are not traditionally considered meaningful, because they seem to reflect more background noise than signal. However, maybe your analyses could help overturn that impression! </div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px">James</div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Jul 11, 2017 at 3:00 PM, <span dir="ltr"><<a href="mailto:eeglablist-request@sccn.ucsd.edu" target="_blank">eeglablist-request@sccn.ucsd.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">Send eeglablist mailing list submissions to<br>
<a href="mailto:eeglablist@sccn.ucsd.edu">eeglablist@sccn.ucsd.edu</a><br>
<br>
To subscribe or unsubscribe via the World Wide Web, visit<br>
<a href="https://sccn.ucsd.edu/mailman/listinfo/eeglablist" rel="noreferrer" target="_blank">https://sccn.ucsd.edu/mailman/<wbr>listinfo/eeglablist</a><br>
or, via email, send a message with subject or body 'help' to<br>
<a href="mailto:eeglablist-request@sccn.ucsd.edu">eeglablist-request@sccn.ucsd.<wbr>edu</a><br>
<br>
You can reach the person managing the list at<br>
<a href="mailto:eeglablist-owner@sccn.ucsd.edu">eeglablist-owner@sccn.ucsd.edu</a><br>
<br>
When replying, please edit your Subject line so it is more specific<br>
than "Re: Contents of eeglablist digest..."<br>
<br>Today's Topics:<br>
<br>
1. Use of pattern lacunarity in processing the topoplots of IC<br>
components-Reg (SAIRAMYA N J RR16EC001)<br>
<br><br>---------- Forwarded message ----------<br>From: SAIRAMYA N J RR16EC001 <<a href="mailto:sairamyanj@karunya.edu.in">sairamyanj@karunya.edu.in</a>><br>To: <<a href="mailto:eeglablist@sccn.ucsd.edu">eeglablist@sccn.ucsd.edu</a>><br>Cc: <br>Bcc: <br>Date: Tue, 11 Jul 2017 11:18:21 +0530<br>Subject: [Eeglablist] Use of pattern lacunarity in processing the topoplots of IC components-Reg<br><div dir="ltr"><div>Hi.</div><div> Currently, I am working in applying image processing algorithms to analyse the topoplots of IC components. Is it possible to use pattern lacunarity spectrum(PLS) to analyse the topoplots. </div><div><br></div><div>Thank you </div></div>
<br>______________________________<wbr>_________________<br>
eeglablist mailing list <a href="mailto:eeglablist@sccn.ucsd.edu">eeglablist@sccn.ucsd.edu</a><br>
Eeglablist page: <a href="http://www.sccn.ucsd.edu/eeglab/eeglabmail.html" rel="noreferrer" target="_blank">http://www.sccn.ucsd.edu/<wbr>eeglab/eeglabmail.html</a><br>
To unsubscribe, send an empty email to <a href="mailto:eeglablist-unsub@sccn.ucsd.edu">eeglablist-unsub@sccn.ucsd.edu</a><br>
To switch to non-digest mode, send an empty email to <a href="mailto:eeglablist-nodigest@sccn.ucsd.edu">eeglablist-nodigest@sccn.ucsd.<wbr>edu</a><br></blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr"><div>James Jones-Rounds</div>Laboratory Manager<br>Human Development EEG and Psychophysiology (HEP) Laboratory,<div>Department of Human Development,<br>--------------------------------------------<br>Cornell University | Ithaca, NY<br></div><div>607-255-9883</div><div><a href="mailto:eeg@cornell.edu" target="_blank">eeg@cornell.edu</a></div></div></div>
</div></div>