Literature DB >> 10824267

Contour integration in color vision: a common process for the blue-yellow, red-green and luminance mechanisms?

K T Mullen1, W H Beaudot, W H McIlhagga.   

Abstract

We compare the performance of the red-green, blue-yellow and luminance postreceptoral mechanisms on a contour integration task requiring the linking of oriented Gabor elements across space to extract a winding 'path' or contour. We first establish that for all three mechanisms curvature and contrast are independent; losses in performance due to one cannot be compensated by changes in the other. We then compare contour integration by the three mechanisms using a method that controls for their differences in cone contrast thresholds. Our results show that despite the poor orientation discrimination thresholds and poor spatial sampling found for the blue-yellow mechanism, all three mechanisms perform similarly on contour integration over a wide range of curvatures. Furthermore, all three mechanisms have the same dependence on path curvature. We also investigate the effects of adding external orientation noise. Our results imply that the internal orientation noise for extracting 'aligned' path elements is similar in the three mechanisms and for all path curvatures, and the relative efficiencies are also similar for the three mechanisms. To account for our results, we propose that the three postreceptoral mechanisms use a common contour integration process. This linking process, however, cannot be color-blind; our last experiment shows that linking between different chromatic mechanisms or between opposite spatial phases disrupts contour integration. We thus propose that the common integration process remains sensitive to the color contrast and phase of its inputs.

Mesh:

Year:  2000        PMID: 10824267     DOI: 10.1016/s0042-6989(99)00204-7

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


  9 in total

1.  Masking, crowding, and grouping: Connecting low and mid-level vision.

Authors:  Josephine Reuther; Ramakrishna Chakravarthi; Jasna Martinovic
Journal:  J Vis       Date:  2022-02-01       Impact factor: 2.240

2.  The role of color contrast gain control in global form perception.

Authors:  Yih-Shiuan Lin; Lee Lin; Chien-Chung Chen
Journal:  J Vis       Date:  2022-05-03       Impact factor: 2.004

3.  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

4.  Combining S-cone and luminance signals adversely affects discrimination of objects within backgrounds.

Authors:  Ben J Jennings; Konstantinos Tsattalios; Ramakrishna Chakravarthi; Jasna Martinovic
Journal:  Sci Rep       Date:  2016-02-09       Impact factor: 4.379

5.  Contour Integration in Dynamic Scenes: Impaired Detection Performance in Extended Presentations.

Authors:  Axel Grzymisch; Cathleen Grimsen; Udo A Ernst
Journal:  Front Psychol       Date:  2017-09-05

6.  Emergence of crowding: The role of contrast and orientation salience.

Authors:  Robert J Lee; Josephine Reuther; Ramakrishna Chakravarthi; Jasna Martinovic
Journal:  J Vis       Date:  2021-10-05       Impact factor: 2.240

7.  Low level constraints on dynamic contour path integration.

Authors:  Sophie Hall; Patrick Bourke; Kun Guo
Journal:  PLoS One       Date:  2014-06-16       Impact factor: 3.240

Review 8.  The physiology and psychophysics of the color-form relationship: a review.

Authors:  Konstantinos Moutoussis
Journal:  Front Psychol       Date:  2015-11-03

9.  Perceptual load modulates contour integration in conscious and unconscious states.

Authors:  Kaiwen Cheng; Keyu Yang; Long Qin; Yixuan Zhuo; Hongmei Yan
Journal:  PeerJ       Date:  2019-08-22       Impact factor: 2.984

  9 in total

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