A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2008; you can also visit the original URL.
The file type is
Superparamagnetic segmentation by excitable neural systems
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
Magnetic modeling for clustering or segmentation purposes can either associate the image data to external quenched fields or to the interactions among a set of auxiliary variables. The latter gives rise to superparamagnetic segmentation and is usually done with Potts systems. We have used the superparamagnetic clustering technique to segment images, with the aid of different associated systems. Results using Potts model are comparable to those obtained using excitable FitzHugh-Nagumo anddoi:10.1103/physreve.68.031911 pmid:14524807 fatcat:xa4f7kkp5bguren3fjhtu46a6u