Visual Representations of Texture

Abstract

This research is concerned with understanding both the computational and neurophysiological bases of texture segregation. During the grant period we have (a) conducted a series of experiments investigating the interaction of size and contrast in texture segregation, (b) compared our experimental results with calculated outputs of a two dimensional Gabor model of simple-cell-like spatial- frequency channels, (c) established that the function describing perceived segregation of a texture resulting from lightness differences of the texture elements is not the same as the function describing the perceived lightness differences of the elements. We also showed that the outputs of spatial frequency channels that predict the perceived segregation of texture regions failed to predict the perceived salience of a line composed of disconnected shapes embedded in a background of the same shapes. The second part of the report describes work by Stevens on the earliest levels in the extraction of geometric structure.

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Document Details

Document Type
Technical Report
Publication Date
Dec 15, 1988
Accession Number
ADA204480

Entities

People

  • Jacob Beck
  • Kent A. Stevens

Organizations

  • University of Oregon

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Computer Vision
  • Detectors
  • Frequency
  • Geometric Forms
  • Geometry
  • Image Processing
  • Information Processing
  • Information Science
  • Order Statistics
  • Pattern Recognition
  • Perception
  • Psychology
  • Statistics
  • Three Dimensional
  • Two Dimensional
  • Visual Perception

Readers

  • Computational Modeling and Simulation
  • Vision Science/Vision Psychology/Cognitive Neuroscience.