Measuring the visual salience of alignments by their non-accidentalness

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

6 Scopus Citations
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Author(s)

  • S. Blusseau
  • A. Carboni
  • A. Maiche
  • J. M. Morel
  • R. Grompone von Gioi

Detail(s)

Original languageEnglish
Pages (from-to)192-206
Journal / PublicationVision Research
Volume126
Publication statusPublished - 1 Sept 2016
Externally publishedYes

Abstract

Quantitative approaches are part of the understanding of contour integration and the Gestalt law of good continuation. The present study introduces a new quantitative approach based on the a contrario theory, which formalizes the non-accidentalness principle for good continuation. This model yields an ideal observer algorithm, able to detect non-accidental alignments in Gabor patterns. More precisely, this parameterless algorithm associates with each candidate percept a measure, the Number of False Alarms (NFA), quantifying its degree of masking. To evaluate the approach, we compared this ideal observer with the human attentive performance on three experiments of straight contours detection in arrays of Gabor patches. The experiments showed a strong correlation between the detectability of the target stimuli and their degree of non-accidentalness, as measured by our model. What is more, the algorithm's detection curves were very similar to the ones of human subjects. This fact seems to validate our proposed measurement method as a convenient way to predict the visibility of alignments. This framework could be generalized to other Gestalts. © 2015 Elsevier Ltd

Research Area(s)

  • a contrario theory, Contour integration, Detection, Good continuation, Ideal observer, Non-accidentalness

Bibliographic Note

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Citation Format(s)

Measuring the visual salience of alignments by their non-accidentalness. / Blusseau, S.; Carboni, A.; Maiche, A. et al.
In: Vision Research, Vol. 126, 01.09.2016, p. 192-206.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review