ArticleScientific reports2017
The equivalent internal orientation and position noise for contour integration.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Identification of letters distorted by physiologically-inspired spatial scrambling.PLoS computational biology · 2026Article
- RAID-Dataset: human responses to affine image distortions and Gaussian noise.Scientific data · 2026Article
- Temporal Contour Integration Deficits in Children With Amblyopia.Investigative ophthalmology & visual science · 2025Article
- Neural mechanisms of symmetry perception: hemispheric specialization and the impact of noise on reflection symmetry detection.Frontiers in neuroscience · 2025Article
- Factors limiting sensitivity to binocular disparity in human vision: Evidence from a noise-masking approach.Journal of vision · 2020Article
- Increased Noise in Cortico-Cortical Integration After Mild TBI Measured With the Equivalent Noise Technique.Frontiers in neurology · 2019Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Contour integration is the joining-up of local responses to parts of a contour into a continuous percept. In typical studies observers detect contours formed of discrete wavelets, presented against a background of random wavelets. This measures performance for detecting contours in the limiting external noise that background provides. Our novel task measures contour integration without requiring any background noise. This allowed us to perform noise-masking experiments using orientation and position noise. From these we measure the equivalent internal noise for contour integration. We found an orientation noise of 6° and position noise of 3 arcmin. Orientation noise was 2.6x higher in contour integration compared to an orientation discrimination control task. Comparing against a position discrimination task found position noise in contours to be 2.4x lower. This suggests contour integration involves intermediate processing that enhances the quality of element position representation at the expense of element orientation. Efficiency relative to the ideal observer was lower for the contour tasks (36% in orientation noise, 21% in position noise) compared to the controls (54% and 57%).
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Registered trials
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