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Related Experiment Videos

Texture brightness filling-in

G Caputo1

  • 1Dipartimento di Psicologia Generale, Università di Padova, Italy. gcaputo@psico.unipd.it

Vision Research
|June 13, 1998
PubMed
Summary
This summary is machine-generated.

Brightness filling-in within textures is influenced by line orientation. Two distinct processes are involved: initial isotropic luminance spreading and later texture flow along line orientation, which is blocked by segregation borders.

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Area of Science:

  • Visual perception
  • Computational neuroscience
  • Image processing

Background:

  • Brightness filling-in is a visual phenomenon where a region appears brighter than its physical luminance.
  • Textures composed of line elements present a unique challenge for understanding filling-in due to their directional properties.

Purpose of the Study:

  • To investigate brightness filling-in within textures made of line elements using a masking procedure.
  • To determine the role of line orientation and texture segregation in brightness spreading.

Main Methods:

  • Utilized the Paradiso and Nakayama (1991) masking procedure with texture stimuli and a square contour mask.
  • Employed dichoptic presentations in two experiments using adjustment and matching tasks to measure brightness spreading.

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  • Investigated the temporal dynamics of orientation selectivity in filling-in.

    • Main Results:

    • Uniform textures showed darkening and degenerated line elements within the mask, suggesting isotropic spreading.
    • Segregating textures preserved line element shape and showed less darkening, indicating orientation-dependent spreading.
    • Brightness spreading was initiated by equiluminant borders and blocked by orientation-defined segregation borders, with orientation selectivity emerging within 40-80 ms.

    Conclusions:

    • Two processes likely underlie texture filling-in: an early isotropic luminance spread and a later orientation-directed texture flow.
    • Texture flow, guided by line orientation, fills in regions bounded by segregation contours.
    • This suggests a sophisticated visual system capable of processing both global luminance and local texture features for surface perception.