Suppr超能文献

通过完成与拼接解决方案进行的中级启动

Mid-level Priming by Completion vs. Mosaic Solutions.

作者信息

Peta Antonio, Fantoni Carlo, Gerbino Walter

机构信息

Department of Life Sciences, Psychology Unit Gaetano Kanizsa, University of Trieste, Italy.

出版信息

Iperception. 2019 Apr 29;10(2):2041669518820347. doi: 10.1177/2041669518820347. eCollection 2019 Mar-Apr.

Abstract

We report two experiments on the role of mid-level processes in image segmentation and completion. In the primed matching task of Experiment 1, a cue→prime sequence was presented before the imperative stimulus consisting of target shapes with positive versus negative contour curvature polarity and one versus two axes of mirror symmetry. Priming shapes were included in two composite occlusion displays with the same T-junction information and different geometric features supporting a distinct balance between completion and mosaic solutions. A cue, either congruent or incongruent with targets, preceded the presentation of the composite priming display. Matching performance was affected by primes in the expected direction, while cue congruency participated only in a marginally significant three-way interaction, and prime duration had no effect. In Experiment 2, the cue→prime sequence was replaced by a fixation cross to control for the priming effect obtained in Experiment 1. The study confirmed that contour connectability and curvature polarity are effective structural factors capable of competing with symmetry in mid-level image segmentation and completion processes.

摘要

我们报告了两项关于中级过程在图像分割和完成中的作用的实验。在实验1的启动匹配任务中,在由具有正与负轮廓曲率极性以及一与两个镜像对称轴的目标形状组成的命令刺激之前呈现一个线索→启动序列。启动形状包含在两个具有相同T型交叉点信息和不同几何特征的复合遮挡显示中,这些几何特征支持完成和镶嵌解决方案之间的明显平衡。一个与目标一致或不一致的线索,在复合启动显示的呈现之前出现。匹配性能受到启动的预期方向的影响,而线索一致性仅参与了一个边缘显著的三因素交互作用,并且启动持续时间没有影响。在实验2中,线索→启动序列被一个注视十字所取代,以控制在实验1中获得的启动效应。该研究证实,轮廓可连接性和曲率极性是能够在中级图像分割和完成过程中与对称性竞争的有效结构因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38d2/6492368/baa09b142259/10.1177_2041669518820347-fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验