Skip to main content
padlock icon - secure page this page is secure

Effect of spatial uncertainty and familiarity on memory for surface colour in natural scenes and Mondrian patterns

Buy Article:

$17.00 + tax (Refund Policy)

How does memory affect surface-colour matching and is there any advantage with familiar scenes? A computer-controlled colour display system was used to present images of natural scenes and Mondrian patterns under two different daylights of correlated colour temperatures 25000 K and 6500 K, each lasting 1 s and separated by an interval lasting 0, 0.1, 0.2, 0.5, 1, 2, or 5 s, with a gradual transition from the first to second image. For natural scenes, one mainly vegetated, the other mainly non-vegetated, the test surface to be matched was a coloured sphere at a fixed location in the scene. For Mondrian patterns, which were either generated afresh from trial to trial or constant throughout the experiment, there was either a single test surface at the centre of the pattern or multiple test surfaces distributed randomly over the pattern. Observers had to decide whether the test surface or surfaces had the same colour over the time course of the stimulus. Performance, measured by a colour-constancy index, was stable with natural scenes and with constant Mondrian patterns, independent of the interval duration. With freshly generated Mondrian patterns, performance was almost constant for intervals up to about 1 s with a central test surface but worsened rapidly with randomly distributed test surfaces. It seems that surface-colour matching is not limited by memory, at least over intervals of seconds, but it is influenced by uncertainty in the spatial organisation of stimuli and the location of the test surface.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Publication date: January 1, 2008

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Membership Information
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more