Skip to main navigation
Skip to search
Skip to main content
Aston Research Explorer Home
Help & FAQ
Home
Research units
Profiles
Research Outputs
Datasets
Student theses
Activities
Press/Media
Prizes
Equipment
Search by expertise, name or affiliation
Edges and bars: where do people see features in 1-D images?
Gillian S. Hesse, Mark A. Georgeson
Optometry
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Edges and bars: where do people see features in 1-D images?'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Human Vision
100%
Early Vision
100%
Spatial Distribution
50%
Square Wave
50%
Spatial Frequency
50%
Detailed Model
50%
Local Contrast
50%
Luminance Gradient
50%
Spatial Derivatives
50%
Gaussian Derivative
50%
Feature Detection
50%
Burr
50%
Amplitude Spectrum
50%
Local Phase
50%
Perceived Position
50%
Fourier Components
50%
By Design
50%
First-order Features
50%
Local Energy
50%
Energy Peak
50%
Computer Vision-based
50%
Luminance Distribution
50%
Phase Offset
50%
Spatial Alignment
50%
Phase Alignment
50%
Contrast Energy
50%
Cursor
50%
Engineering
Energy Engineering
100%
Human Vision
100%
Early Vision
100%
Gaussians
50%
Spatial Distribution
50%
Spatial Frequency
50%
Peak Energy
50%
Detailed Model
50%
Computervision
50%
Burrs
50%
Amplitude Spectrum
50%
Features Detection
50%
Peak Luminance
50%
Fourier Component
50%
Local Contrast
50%
Earth and Planetary Sciences
Square Wave
100%
Spatial Distribution
100%
Computer Vision
100%
Agricultural and Biological Sciences
Computer Vision
100%