Literature DB >> 15342221

Contour grouping: closure effects are explained by good continuation and proximity.

Tal Tversky1, Wilson S Geisler, Jeffrey S Perry.   

Abstract

Previous experimental studies have provided evidence that closed contours are easier to detect than open contours in random-element displays, and previous theoretical studies have shown that these effects might be explained by an active neural mechanism (e.g., a "reverberating neural circuit") sensitive to closure. To test this hypothesis, detection thresholds were measured in five experiments designed to control for the effects of uncertainty, eccentricity, and element density. In four of the experiments, we found that closed contours were no easier to detect than open contours, and in the remaining experiment the effects were consistent with the predictions of probability summation. Thus, we could find no evidence for an active neural mechanism that enhances detectability of closed contours more than open contours, although some form of closure mechanism may play a significant role in image interpretation.

Mesh:

Year:  2004        PMID: 15342221     DOI: 10.1016/j.visres.2004.06.011

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  18 in total

1.  Structuring process and closure principle in spatial and temporal reproduction tasks.

Authors:  Jean-Christophe Sarrazin; Arnaud Tonnelier; Bruno Berberian; Marie-Dominique Giraudo
Journal:  Cogn Neurodyn       Date:  2008-04-19       Impact factor: 5.082

2.  Analysis of the studies of the perception of fragmented images: global description and perception using local features.

Authors:  Yu E Shelepin; V N Chikhman; N Foreman
Journal:  Neurosci Behav Physiol       Date:  2009-06-11

Review 3.  A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure-ground organization.

Authors:  Johan Wagemans; James H Elder; Michael Kubovy; Stephen E Palmer; Mary A Peterson; Manish Singh; Rüdiger von der Heydt
Journal:  Psychol Bull       Date:  2012-07-30       Impact factor: 17.737

4.  Reliability of cortical activity during natural stimulation.

Authors:  Uri Hasson; Rafael Malach; David J Heeger
Journal:  Trends Cogn Sci       Date:  2009-12-11       Impact factor: 20.229

5.  Contour statistics in natural images: grouping across occlusions.

Authors:  Wilson S Geisler; Jeffrey S Perry
Journal:  Vis Neurosci       Date:  2009-02-16       Impact factor: 3.241

6.  Identification of everyday objects on the basis of Gaborized outline versions.

Authors:  Michaël Sassi; Kathleen Vancleef; Bart Machilsen; Sven Panis; Johan Wagemans
Journal:  Iperception       Date:  2010-12-02

7.  Effects of Spatial Frequency Similarity and Dissimilarity on Contour Integration.

Authors:  Malte Persike; Günter Meinhardt
Journal:  PLoS One       Date:  2015-06-09       Impact factor: 3.240

8.  Inter-element orientation and distance influence the duration of persistent contour integration.

Authors:  Lars Strother; Danila Alferov
Journal:  Front Psychol       Date:  2014-11-06

9.  Shape detection of Gaborized outline versions of everyday objects.

Authors:  Michaël Sassi; Bart Machilsen; Johan Wagemans
Journal:  Iperception       Date:  2012-10-11

Review 10.  The development of contour processing: evidence from physiology and psychophysics.

Authors:  Gemma Taylor; Daniel Hipp; Alecia Moser; Kelly Dickerson; Peter Gerhardstein
Journal:  Front Psychol       Date:  2014-07-08
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