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 Experiment Videos

Adaptive phase-input joint transform correlator.

Victor H Diaz-Ramirez1, Vitaly Kober

  • 1Department of Computer Science, CICESE, Enseneda B.C., Mexico. vhdiaz@cicese.mx

Applied Optics
|September 12, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Reliable Disparity Estimation Using Multiocular Vision with Adjustable Baseline.

Sensors (Basel, Switzerland)·2025
Same author

Breast cancer risk estimation with intelligent algorithms and risk factors for Cuban women.

Computers in biology and medicine·2024
Same author

Restoration of Binocular Images Degraded by Optical Scattering through Estimation of Atmospheric Coefficients.

Sensors (Basel, Switzerland)·2023
Same author

Are camera, projector, and camera-projector calibrations different?

Applied optics·2023
Same author

Stereo Image Matching Using Adaptive Morphological Correlation.

Sensors (Basel, Switzerland)·2022
Same author

Stereo-phase rectification for metric profilometry with two calibrated cameras and one uncalibrated projector.

Applied optics·2022
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

This study introduces an adaptive phase-input joint transform correlator for reliable pattern recognition. The system effectively detects targets and their distorted versions in cluttered scenes, outperforming existing methods.

Area of Science:

  • Optoelectronics and Photonics
  • Image Processing
  • Pattern Recognition

Background:

  • Joint transform correlators (JTCs) are widely used for pattern recognition.
  • Phase-only JTCs offer advantages in optical implementation.
  • Adaptive algorithms are needed to improve JTC performance under varying conditions.

Purpose of the Study:

  • To present an adaptive phase-input joint transform correlator (JTC) for enhanced pattern recognition.
  • To develop a novel iterative algorithm for generating phase-only synthetic discriminant functions (SDFs) considering optoelectronic calibration.
  • To evaluate the performance of the proposed adaptive JTC against existing JTCs.

Main Methods:

  • Development of an adaptive phase-input JTC system.
  • Generation of reference images using a new iterative algorithm with phase-only SDFs and calibration lookup tables.

Related Experiment Videos

  • Computer simulations comparing the adaptive JTC with existing JTCs for discrimination, noise tolerance, and distortion tolerance.
  • Experimental validation using optodigital JTC results.

    • Main Results:

    • The adaptive phase-input JTC reliably detects targets and their distorted versions in cluttered backgrounds.
    • Simulations demonstrate superior discrimination capability and tolerance to noise and geometric distortions compared to existing JTCs.
    • Experimental results validate the effectiveness of the proposed adaptive JTC.

    Conclusions:

    • The proposed adaptive phase-input JTC offers robust pattern recognition capabilities.
    • The novel iterative algorithm for phase-only SDFs enhances system performance by incorporating calibration data.
    • The adaptive JTC is a promising approach for real-world pattern recognition applications.