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

Scale space classification using area morphology.

S T Acton1, D P Mukherjee

  • 1Sch. of Electr. and Comput. Eng., Oklahoma State Univ., Stillwater, OK 74078, USA. sacton@okstate.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 8, 2008
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

3D far-field Lidar sensing and computational modeling for human identification.

Applied optics·2024
Same author

Advances in image processing for single-particle analysis by electron cryomicroscopy and challenges ahead.

Current opinion in structural biology·2018
Same author

Birth order effects on dermatoglyphs on fingers, palms, toes, and soles.

American journal of human biology : the official journal of the Human Biology Council·2017
Same author

Robust cardiomyocyte-specific gene expression following systemic injection of AAV: in vivo gene delivery follows a Poisson distribution.

Gene therapy·2010
Same author

Multigrid anisotropic diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Nonlinear image estimation using piecewise and local image models.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

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

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

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

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

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

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

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

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

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

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

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

This study introduces a novel scale space classifier using area morphology for image classification. This method effectively clusters similar objects and reduces classification errors, outperforming traditional algorithms for scale-dependent tasks.

Area of Science:

  • Computer Vision
  • Image Processing
  • Pattern Recognition

Background:

  • Traditional image classification often struggles with objects of varying scales.
  • Existing scale-generating filters can be less effective for precise object identification.

Purpose of the Study:

  • To develop and evaluate a novel scale space classifier based on area morphology for improved image classification.
  • To demonstrate the effectiveness of area open-close and area close-open scale spaces in handling multiscale image structures.

Main Methods:

  • A scale space is generated using successive applications of area morphology operators (area open-close and area close-open).
  • Scale space vectors are created for each pixel, capturing intensity across multiple scales determined by image granulometry.

Related Experiment Videos

  • Image pixels are classified by clustering these scale space vectors using k-means or fuzzy c-means algorithms.

    • Main Results:

    • The proposed area morphology-based scale space classifier demonstrates improved clustering of similar objects compared to fixed-scale methods.
    • Experimental results show a reduction in both intra-region and overall classification errors, particularly for scale-dependent classification tasks.
    • The scale spaces exhibit desirable properties like fidelity, causality, and edge localization.

    Conclusions:

    • Area morphology-based scale spaces offer an effective multiscale structure for image classification.
    • The novel scale space classifier outperforms traditional fixed-scale clustering and parametric Bayesian classifiers for tasks sensitive to object scale.