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 Video

Updated: May 8, 2026

Image Recognition and Parameter Analysis of Concrete Vibration State Based on Support Vector Machine
08:27

Image Recognition and Parameter Analysis of Concrete Vibration State Based on Support Vector Machine

Published on: January 5, 2024

Comments on “SVD-based modeling for image texture classification using wavelet transform”.

Nam Chul Kim, Hyun Joo So

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |August 27, 2013
    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

    Deficiency of muscular dystrophy-related gene JAG2 causes NOTCH signaling dysfunction in muscle stem cells.

    The Journal of clinical investigation·2026
    Same author

    Aging-associated mitochondrial circular RNAs.

    Aging·2026
    Same author

    FDA-approved PDE4 inhibitors alleviate the dominant toxicity of ALS-FTD-associated CHCHD10<sup>S59L</sup> in <i>Drosophila</i> and human cells.

    iScience·2026
    Same author

    The efficacy of half saline in tumescent liposuction.

    Scientific reports·2025
    Same author

    Surface glia for modeling ALS-FTD-associated mutant C9orf72 toxicity in the nervous system of <i>Drosophila</i>.

    Genes & diseases·2025
    Same author

    SARS-CoV-2 RNA-binding protein suppresses extracellular miRNA release.

    RNA biology·2025
    Same journal

    Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Semantic Frame Interpolation.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    See all related articles

    This correspondence identifies errors in formulas and overestimations in singular value decomposition (SVD) performance from reference [1]. A modified SVD feature is proposed, demonstrating competitive performance against Gabor features in image analysis.

    Area of Science:

    • Computer Vision
    • Signal Processing
    • Machine Learning

    Background:

    • The study addresses inaccuracies in established formulas within reference [1].
    • It highlights the overestimation of performance for the singular value decomposition (SVD) feature proposed in [1].

    Discussion:

    • This correspondence corrects critical errors in two key formulas presented in reference [1].
    • The performance evaluation of the singular value decomposition (SVD) feature in [1] is critically examined and found to be overestimated.
    • A novel, modified SVD feature is introduced as a viable alternative.

    Key Insights:

    • Identified and corrected significant errors in the mathematical formulations of reference [1].
    • Demonstrated that the original SVD feature's efficacy is overstated.

    More Related Videos

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench
    11:38

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench

    Published on: August 23, 2017

    Related Experiment Videos

    Last Updated: May 8, 2026

    Image Recognition and Parameter Analysis of Concrete Vibration State Based on Support Vector Machine
    08:27

    Image Recognition and Parameter Analysis of Concrete Vibration State Based on Support Vector Machine

    Published on: January 5, 2024

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench
    11:38

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench

    Published on: August 23, 2017

  • Proposed a refined SVD feature with competitive performance.

    • Outlook:

    • The corrected formulas and modified SVD feature offer improved accuracy for future research.
    • This work paves the way for more reliable feature extraction methods in image processing.
    • Further research can explore the application of the modified SVD feature in diverse pattern recognition tasks.