Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Optics research at the U.S. Army Research Laboratory.

Applied optics·2017
Same author

U.S. Army Research Laboratory focus issue: introduction.

Applied optics·2017
Same author

Kinoform-based Nipkow disk for a confocal microscope.

Applied optics·2010
Same author

Cross-talk analysis and reduction in fully parallel matrix-matrix multipliers.

Applied optics·2010
Same author

Apodized pixel lenses in compact shadow-casting correlators.

Applied optics·2010
Same author

Incoherent optical image processing with acousto-optic pupil-plane filtering.

Applied optics·2010
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

Related Experiment Video

Updated: Jun 9, 2026

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

Acousto-optic processing with electronic image feedback for morphological filtering.

J N Mait, D W Prather, R A Athale

    Applied Optics
    |August 25, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study presents an optical morphological processor using acousto-optic and magneto-optic devices for advanced image processing. The processor successfully demonstrated complex morphological operations and noise removal, validated against simulations.

    More Related Videos

    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
    05:38

    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

    Published on: June 29, 2021

    Automated Charting of the Visual Space of Housefly Compound Eyes
    08:34

    Automated Charting of the Visual Space of Housefly Compound Eyes

    Published on: March 31, 2022

    Related Experiment Videos

    Last Updated: Jun 9, 2026

    Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
    09:42

    Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

    Published on: May 12, 2019

    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
    05:38

    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

    Published on: June 29, 2021

    Automated Charting of the Visual Space of Housefly Compound Eyes
    08:34

    Automated Charting of the Visual Space of Housefly Compound Eyes

    Published on: March 31, 2022

    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Computer Vision

    Background:

    • Morphological image processing is crucial for image analysis.
    • Traditional methods can be computationally intensive.
    • Optical processors offer potential for high-speed computation.

    Purpose of the Study:

    • To describe and demonstrate a novel optical morphological processor.
    • To implement complex morphological operations using optical methods.
    • To evaluate the processor's performance in noise removal.

    Main Methods:

    • Utilized an acousto-optic cell for structuring element generation in the Fourier plane.
    • Employed a magneto-optic spatial light modulator at the input plane.
    • Integrated a PC for control, signal generation, and image processing with electronic feedback.

    Main Results:

    • Successfully demonstrated complex morphological operations (opening and closing) optically.
    • Implemented and tested a morphological noise-removal algorithm.
    • Compared optical processor results with computer simulations, identifying discrepancies and solutions.

    Conclusions:

    • The developed optical morphological processor is effective for complex image operations.
    • Optical implementation shows promise for high-speed noise removal.
    • Further research can refine the processor for improved accuracy and efficiency.