Path: utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!tut.cis.ohio-state.edu!ucbvax!techunix.BITNET!dario
From: dario@techunix.BITNET (Dario Ringach)
Newsgroups: comp.ai.neural-nets
Subject: Texture Segmentation using the Boundary Contour System
Keywords: texture segmentation, BCS
Message-ID: <8138@techunix.BITNET>
Date: 12 Apr 89 05:49:36 GMT
Sender: daemon@ucbvax.BERKELEY.EDU
Organization: Technion - Israel Inst. Tech., Haifa Israel
Lines: 17

How can the Boundary Contour System segment textures with identical
second-order statistics?  I mean, first-order differences are easily
discovered by the "contrast sensitive" cells at the first stage of the
BCS (the OC filter), while the CC-loop can account for second- order
(dipole) statistics; but how can the BCS segment textures, as the ones
presented by Julez [1], which have even identical third-order statistics
but are easily discriminable?  Is the BCS/FCS model consistent with
Julez's Textons theory?  If so, in which way?

Thanks!
--
Dario Ringach
dario@techunix.bitnet

[1] B. Julez and R. Bergen, 'Textons, the Fundamental Elements in
    Preattentive Vision and Perception of Structures', The Bell
    Technical Journal, Vol. 62, No. 6, pp. 1619, 1983.