Quantifying Texture Discrimination via Additive Functionals

Abstract

Event Abstract Back to Event Quantifying Texture Discrimination via Additive Functionals Marconi S. Barbosa1*, Ted Maddess2 and Anton Bubna-Litic2 1 NICTA, Canberra Research Laboratory, Australia 2 Australian National University, Research School of Biology, Australia It is well known that higher order correlations between pixels in a grey level image are significant when attempting to discriminate structured textures from a uniformly random ones. It has been established that the visual cortex utilises higher order spatial correlations in order discriminate and identify textures. For edge and corner relations to be described, systems designed to encode correlations between three or more points are needed. These higher order correlations define structure in textures and so, in understanding how visual systems work, we must understand which correlations are utilised. We evaluate human discrimination performance for 16 binary textures for about 20 individuals and compared it with statistics generated from 2D, binary Minkowski functionals. Relationships between the psychometric results and a mixed fourth order correlations such as the Euler number were discovered. This result sheds light into a possible mechanism for perception of visual clues that mimics the calculation of the difference between the number of holes and contiguous regions in an image belonguing to a particular texture family. Figure 1 Keywords: computational neuroscience Conference: Bernstein Conference on Computational Neuroscience, Berlin, Germany, 27 Sep - 1 Oct, 2010. Presentation Type: Presentation Topic: Bernstein Conference on Computational Neuroscience Citation: Barbosa MS, Maddess T and Bubna-Litic A (2010). Quantifying Texture Discrimination via Additive Functionals. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.fncom.2010.51.00038 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 17 Sep 2010; Published Online: 23 Sep 2010. * Correspondence: Prof. Marconi S Barbosa, NICTA, Canberra Research Laboratory, Sydney, Australia, marconi.barbosa@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Marconi S Barbosa Ted Maddess Anton Bubna-Litic Google Marconi S Barbosa Ted Maddess Anton Bubna-Litic Google Scholar Marconi S Barbosa Ted Maddess Anton Bubna-Litic PubMed Marconi S Barbosa Ted Maddess Anton Bubna-Litic Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.