Modeling visual search on a rough surface

A. D F Clarke, Mike Chantler, Patrick R. Green

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The LNL (linear, non-linear, linear) model has previously been successfully applied to the problem of texture segmentation. In this study we investigate the extent to which a simple LNL model can simulate human performance in a search task involving a target on a textured surface. Two different classes of surface are considered: 1/fß-noise and near-regular textures. We find that in both cases the search performance of the model does not differ significantly from that of people, over a wide range of task difficulties. © ARVO.

Original languageEnglish
Article number11
Pages (from-to)1-12
Number of pages13
JournalJournal of Vision
Volume9
Issue number4
DOIs
Publication statusPublished - 13 Apr 2009

Keywords

  • Linear-nonlinear-linear model
  • Texture
  • Visual search

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