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

Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

You might also read

Related Articles

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

Sort by
Same author

Implementation of arbitrary real-valued correlation filters for the shadow-casting incoherent correlator.

Applied optics·2010
Same author

Performance of an optimum receiver designed for pattern recognition with nonoverlapping target and scene noise.

Applied optics·2010
Same author

Basic properties of nonlinear global filtering techniques and optimal discriminant solutions.

Applied optics·2010
Same author

Performance of minimum-mean-square-error filters for spatially nonoverlapping target and input-scene noise.

Applied optics·2010
Same author

Optical correlation: influence of the coding of the input image.

Applied optics·2010
Same author

Optimality of trade-off filters.

Applied optics·2010
Same journal

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026
Same journal

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026
Same journal

Holographic generation of panoramic 3D scenes by concave ellipsoidal mirror reflection.

Optics letters·2026
Same journal

Dual-pilot phase recovery with pair-wise maximum-ratio combining for coherent PONs.

Optics letters·2026
Same journal

Mapping the whispering gallery modes of a CaF<sub>2</sub> disk resonator with half-tapered fibers to estimate the fundamental mode volume.

Optics letters·2026
Same journal

Quantitative estimation of deep-subwavelength scale via dark-field scattering axial energy concentration decay profiles.

Optics letters·2026
See all related articles

Related Experiment Video

Updated: Jun 20, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Filter design for optical pattern recognition: multicriteria optimization approach.

P Refregier

    Optics Letters
    |September 22, 2009
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method for creating optimal multicriteria filters for optical pattern recognition. The approach yields filters that are less specialized than traditional methods, improving performance in pattern recognition tasks.

    More Related Videos

    Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers
    10:21

    Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers

    Published on: May 5, 2016

    Related Experiment Videos

    Last Updated: Jun 20, 2026

    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
    07:35

    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

    Published on: October 11, 2018

    Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers
    10:21

    Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers

    Published on: May 5, 2016

    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Pattern Recognition

    Background:

    • Traditional methods for constructing optical pattern recognition filters can lead to overspecialization.
    • Multicriteria optimization is crucial for developing robust filters in optical pattern recognition.

    Purpose of the Study:

    • To present a novel method for constructing optimal multicriteria filters for optical pattern recognition.
    • To address the issue of overspecialization in synthetic discriminant function filters.
    • To provide a rigorous comparison of different filter types based on defined criteria.

    Main Methods:

    • Developed a new method for constructing optimal multicriteria filters.
    • Applied the method to synthetic discriminant function filters with double-optimization criteria.
    • Performed a rigorous comparative analysis of various filters.

    Main Results:

    • The proposed method yields filters that are not overspecialized, unlike traditional techniques.
    • Demonstrated the effectiveness of the double-optimization criteria for synthetic discriminant function filters.
    • Provided a systematic comparison of filter performance.

    Conclusions:

    • The new method offers an improved approach to designing optical pattern recognition filters.
    • The developed filters exhibit enhanced robustness due to reduced overspecialization.
    • This work facilitates a more informed selection of filters for optical pattern recognition applications.