Basically what you are doing is running Difference of Gaussians, followed by thresholding, then Difference of Gaussians again, then thresholding. The parameter settings you use work for the image you created, but I doubt that they will be very robust. Bill On Wed, Oct 2, 2013 at 4:31 AM, Ben Thurston <benpaulthurston@xxxxxxxxx>wrote: > I found this algorithm to try and remove noise from a picture, but it seems > to also work as an edge detector... it seems to yield different results on > my sample image than any of the edge detectors built into gimp, so I > thought maybe it would be interesting. I'll be monitoring if anyone feels > like discussing it... > > http://benpaulthurstonblog.blogspot.com/2013/10/separating-noise-from-information-in.html > _______________________________________________ > gimp-developer-list mailing list > List address: gimp-developer-list@xxxxxxxxx > List membership: > https://mail.gnome.org/mailman/listinfo/gimp-developer-list > _______________________________________________ gimp-developer-list mailing list List address: gimp-developer-list@xxxxxxxxx List membership: https://mail.gnome.org/mailman/listinfo/gimp-developer-list
