Jove
Visualize
Contact Us

Related Experiment Video

Updated: Jun 7, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

Morphological and wavelet transforms for object detection and image processing.

A Ye, D Casasent

    Applied Optics
    |October 22, 2010
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    Transformations of Functions III01:20

    Transformations of Functions III

    Transformations modify the graphical representation of a function without changing its fundamental form. One common transformation is reflection, which flips the graph across a designated axis. When the vertical coordinates of all points are multiplied by the negative one, the entire graph is mirrored over the horizontal axis. This transformation reverses the vertical orientation of peaks and troughs, akin to signal inversion in electrical systems, where a waveform is flipped, but the timing of...

    You might also read

    Related Articles

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

    Sort by
    Same author

    Population-Based Outcomes of Single-Fraction Stereotactic Ablative Radiotherapy for Early Stage Non-small Cell Lung Cancer.

    Clinical oncology (Royal College of Radiologists (Great Britain))·2026
    Same author

    Preconception antiphospholipid antibodies and risk of subsequent early pregnancy loss.

    Lupus·2018
    Same author

    Associations between urinary phthalate concentrations and semen quality parameters in a general population.

    Human reproduction (Oxford, England)·2015
    Same author

    Iron binding to caseins in the presence of orthophosphate.

    Food chemistry·2015
    Same author

    Influence of calcium depletion on iron-binding properties of milk.

    Journal of dairy science·2015
    Same author

    The influence of sporadic anovulation on hormone levels in ovulatory cycles.

    Human reproduction (Oxford, England)·2013
    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
    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

    This study introduces novel optical morphological operations and combines them with optical wavelet transforms for robust detection of multiple distorted objects in cluttered scenes. This approach enhances detection rates while minimizing false alarms, even with challenging object variations.

    Area of Science:

    • Computer Vision
    • Image Processing
    • Optical Signal Processing

    Background:

    • Object detection in cluttered scenes is challenging due to variations in object appearance, aspect views, and contrast.
    • Existing methods often struggle with high false-alarm rates and low detection rates in complex environments.

    Purpose of the Study:

    • To develop and evaluate new optical morphological operations for improved object detection.
    • To combine morphological operations with optical wavelet transforms for enhanced clutter reduction and detection accuracy.

    Main Methods:

    • Introduction of novel optical morphological operations for low-level image processing.
    • Integration of morphological operations with optical wavelet transforms for difficult detection scenarios.
    • Implementation of computationally demanding operations on an optical correlator.

    Related Experiment Videos

    Last Updated: Jun 7, 2026

    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
    04:23

    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

    Published on: April 21, 2023

    Main Results:

    • Demonstrated effectiveness of new optical morphological operations in various image processing tasks.
    • Achieved high detection rates and low false-alarm rates by combining morphological operations and optical wavelet transforms.
    • Validated the feasibility of optical correlator implementation for computationally intensive steps.

    Conclusions:

    • The proposed hybrid approach significantly improves the detection of multiple distorted objects in cluttered scenes.
    • Optical morphological operations and wavelet transforms offer a powerful solution for challenging object detection problems.
    • The developed methods are computationally efficient and realizable on optical correlator hardware.