Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2017 May 23;7:2311. doi: 10.1038/s41598-017-02526-1

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

The distribution of fixations in terms of a fixation density map in the two-dimensional image space for (a) urban image in the scaled condition and (b) cropped condition. (c) Sketch showing the eccentricities of the fixation distribution in horizontal and vertical directions. The extent of the eccentricity was measured by the standard deviation. (d) Eccentricities of urban images in the scaled and cropped condition in horizontal and vertical directions for all image sizes. Plots for scaled (e) and cropped (f) images indicate the extent of the eccentricities measured by the standard deviation depending on image category and image size. Error bars indicate the standard error of the mean.