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

You might also read

Related Articles

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

Sort by
Same author

Comparative Analysis of Intravitreal Diffusion Patterns Across Ex Vivo Human and In Vivo/Ex Vivo Animal Models.

Investigative ophthalmology & visual science·2026
Same author

Proof-of-concept: Differentiating upper trapezius muscle with myofascial trigger point using deep learning model on a small prospective sEMG dataset.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology·2026
Same author

Segmentation-aware Generative Reinforcement Network (GRN) for tissue layer segmentation in 3-D ultrasound images for chronic low-back pain (cLBP) assessment.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

Evaluation of In Vitro Efficiency of Ciclopirox Against <i>Yersinia pestis</i> and <i>Francisella tularensis</i>.

International journal of molecular sciences·2026
Same author

Cross-scan fusion network: A registration-based framework for annotation-efficient 3D ultrasound segmentation in low back pain assessment.

Medical physics·2026
Same author

Uncertainty- and hardness-weighted loss functions for medical image segmentation.

Engineering applications of artificial intelligence·2025
Same journal

Recent Advances in Sharing Standardized Composite Structure Design and Manufacturing Information.

Computer aided design·2024
Same journal

Corner-Sharing Tetrahedra for Modeling Micro-structure.

Computer aided design·2021
Same journal

Least Degree <i>G</i> <sup>1</sup>-refinable Multi-sided Surfaces Suitable for Inclusion into <i>C</i> <sup>1</sup> bi-2 Splines.

Computer aided design·2020
Same journal

SPM 2020 Editorial.

Computer aided design·2020
Same journal

A sharp degree bound on <i>G</i> <sup>2</sup>-refinable multi-sided surfaces.

Computer aided design·2020
Same journal

Refinable bi-quartics for design and analysis.

Computer aided design·2019
See all related articles

Related Experiment Video

Updated: Jun 16, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Automated Freehand Sketch Segmentation Using Radial Basis Functions.

Jiantao Pu1, David Gur

  • 1Imaging Research Center, University of Pittsburgh, 3362 Fifth Avenue, Pittsburgh, PA 15213.

Computer Aided Design
|February 18, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a computerized method to automatically segment freehand sketches into meaningful geometric components. The novel algorithm achieves high sensitivity for sketch segmentation, aiding computer-human interaction.

More Related Videos

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Automated Joint Space Detection Improves Bone Segmentation Accuracy
06:45

Automated Joint Space Detection Improves Bone Segmentation Accuracy

Published on: November 28, 2025

Related Experiment Videos

Last Updated: Jun 16, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Automated Joint Space Detection Improves Bone Segmentation Accuracy
06:45

Automated Joint Space Detection Improves Bone Segmentation Accuracy

Published on: November 28, 2025

Area of Science:

  • Computer Vision
  • Human-Computer Interaction
  • Geometric Modeling

Background:

  • Freehand sketching is a natural human-computer interaction method.
  • Automatic sketch segmentation is crucial for sketch understanding.
  • Existing methods may lack robustness for diverse sketch types.

Purpose of the Study:

  • To develop a robust computerized scheme for automatic freehand sketch segmentation.
  • To identify geometric components within sketches for improved analysis.
  • To enable accurate reconstruction of freehand sketches.

Main Methods:

  • A greedy algorithm utilizing Radial Basis Functions (RBFs) for interpolation/extrapolation.
  • Forward and backward operations to find minimal segmentation points.
  • An angle-based rule to remove bridging points for smooth transitions.

Main Results:

  • The algorithm successfully segments freehand sketches into components.
  • Achieved segmentation sensitivity over 97.5% in preliminary tests.
  • Demonstrated accurate detection of transitions between lines and arcs.

Conclusions:

  • The proposed method transforms sketch segmentation into an implicit function fitting problem.
  • Offers advantages like independence from sketching activity.
  • Provides a robust solution for segmenting online and offline freehand sketches.