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

Shape representation and recognition through morphological curvature scale spaces.

Andrei C Jalba1, Michael H F Wilkinson, Jos B T M Roerdink

  • 1Institute for Mathematics and Computing Science, University of Groningen, 9700 AV Groningen, The Netherlands. andrei@cs.rug.nl

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 17, 2006
PubMed
Summary

This study introduces a novel multiscale morphological method for shape-based object recognition. The approach effectively identifies object features using curvature analysis and hat-transform scale spaces, outperforming existing methods.

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

A subject-specific reversible folding model reveals geometry-driven white-matter organization.

bioRxiv : the preprint server for biology·2025
Same author

A Shared-Memory Parallel Alpha-Tree Algorithm for Extreme Dynamic Ranges.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

Evaluation of Alpha-Trees for Hierarchical Segmentation by Horizontal Cuts.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

FLINT: Learning-Based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization.

IEEE transactions on visualization and computer graphics·2025
Same author

Stripe noise removal in conductive atomic force microscopy.

Scientific reports·2024
Same author

A Fast Alpha-Tree Algorithm for Extreme Dynamic Range Pixel Dissimilarities.

IEEE transactions on pattern analysis and machine intelligence·2023

Area of Science:

  • Computer Vision
  • Image Processing
  • Pattern Recognition

Background:

  • Shape-based object recognition is crucial in computer vision.
  • Existing methods face challenges in accurately identifying objects across various scales and complexities.

Purpose of the Study:

  • To present a novel multiscale, morphological method for shape-based object recognition.
  • To enhance object recognition accuracy and robustness.

Main Methods:

  • A connected operator, similar to the morphological hat-transform, was defined.
  • Two scale-space representations were constructed using curvature functions.
  • Object features were extracted by analyzing peaks and valleys of the curvature signal.

Main Results:

Related Experiment Videos

  • The method demonstrated effective object recognition on three large datasets: diatom contours, MPEG-7 silhouettes, and COIL-20 object views.
  • The proposed hat-transform scale spaces successfully represented object features.
  • The approach showed superior performance compared to other evaluated methods.

Conclusions:

  • The developed multiscale morphological method offers a robust and accurate solution for shape-based object recognition.
  • The use of curvature-based scale spaces is effective for feature extraction and object identification.