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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

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Published on: August 30, 2013

A 'dipper' function for texture discrimination based on orientation variance.

Michael Morgan1, Charles Chubb, Joshua A Solomon

  • 1Department of Optometry, City University London, Northampton Square, London, UK. m.morgan@city.ac.uk

Journal of Vision
|October 4, 2008
PubMed
Summary
This summary is machine-generated.

Researchers studied how the visual system detects differences in texture orientation. They found that our ability to notice changes in texture orientation variance follows a

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Area of Science:

  • Visual perception
  • Computational neuroscience
  • Psychophysics

Background:

  • The human visual system processes complex textural information, including orientation variance.
  • Previous research identified 'dipper' functions in discriminations of contrast, blur, and orientation contrast.
  • Understanding the mechanisms underlying texture perception is crucial for fields like computer vision and image processing.

Purpose of the Study:

  • To measure the just-noticeable difference (JND) in orientation variance between textures.
  • To investigate how pedestal variance influences JND in texture orientation.
  • To explore the underlying mechanisms, including potential nonlinearities, that explain observed psychophysical functions.

Main Methods:

  • Participants performed a texture discrimination task, identifying differences in orientation variance.
  • The baseline (pedestal) variance was systematically varied across trials.
  • Psychometric functions were fitted to the JND data to characterize the discrimination performance.

Main Results:

  • A 'dipper' function was observed, where JND initially decreased with increasing pedestal variance and then increased.
  • This pattern suggests both facilitation and masking effects in orientation variance discrimination.
  • A model incorporating a threshold nonlinearity provided a better fit for two out of three observers compared to a purely noisy mechanism.

Conclusions:

  • The visual system may employ a threshold nonlinearity to avoid incorporating intrinsic noise into texture representations.
  • This threshold mechanism could explain the observed 'dipper' function in orientation variance discrimination.
  • Similar nonlinearities may prevent the perception of other sensory coding artifacts, such as blur.