Modeling visual search on a rough surface

Alasdair D. F. Clarke*, Mike J. Chantler, Patrick R. Green

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


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/f(beta)-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.

Original languageEnglish
Article number11
Number of pages12
JournalJournal of Vision
Issue number4
Publication statusPublished - 13 Apr 2009


  • linear-nonlinear-linear model
  • visual search
  • texture
  • texture analysis
  • Saccadic selectivity
  • computational model
  • eye-movements
  • direction
  • vision
  • target


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