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

Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the drone...
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear.
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the time...
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...

You might also read

Related Articles

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

Sort by
Same author

Translation and cross-cultural adaptation of the service user technology acceptability questionnaire to a Spanish version.

Journal of healthcare quality research·2025
Same author

Validation of the Edmonton-33: A Patient-Reported Outcome Instrument in Head and Neck Oncology at Baseline and Subacute Phases Post-Treatment.

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology·2025
Same author

The effect of thiourea activation on physicochemical and catalytic properties of biochars and hydrochars from sugarcane bagasse: Application to metal recovery from wastes.

Waste management (New York, N.Y.)·2025
Same author

Search for Nearly Mass-Degenerate Higgsinos Using Low-Momentum Mildly Displaced Tracks in pp Collisions at sqrt[s]=13  TeV with the ATLAS Detector.

Physical review letters·2024
Same author

Azimuthal Angle Correlations of Muons Produced via Heavy-Flavor Decays in 5.02 TeV Pb+Pb and pp Collisions with the ATLAS Detector.

Physical review letters·2024
Same author

What potential do mosses have as biomonitors of POPs? A comparative study of hexachlorocyclohexane sorption.

The Science of the total environment·2024

Related Experiment Video

Updated: Jun 18, 2026

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

Glottal space segmentation from motion estimation and Gabor filtering.

A Mendez1, E M Ismaili Alaoui, B García

  • 1University of Deusto, Bilbao, Spain. amendez@eside.deusto.es

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
Summary
This summary is machine-generated.

This study presents an automated method for segmenting vocal fold images using motion estimation and Gabor filtering. The technique effectively segments glottal spaces in poor-quality endoscopic videos, aiding in diagnosing vocal fold disorders.

Related Experiment Videos

Last Updated: Jun 18, 2026

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Otolaryngology

Background:

  • Accurate glottal space segmentation is crucial for identifying vocal fold morphological disorders.
  • Endoscopic images of the glottis are often of poor quality, posing challenges for analysis.
  • Automated segmentation methods are needed to overcome limitations of manual analysis and poor image quality.

Purpose of the Study:

  • To develop and evaluate an automated method for vocal fold endoscopic video segmentation.
  • To improve the characterization of vocal fold pathologies through enhanced glottal space segmentation.
  • To enable user-independent analysis of vocal fold dynamics.

Main Methods:

  • Utilized a Wiener motion estimator to calculate displacement vectors between video frames.
  • Applied motion estimation results in conjunction with Gabor filtering for segmentation.
  • Tested the proposed method on a database of endoscopic vocal fold videos.

Main Results:

  • The proposed method achieved successful segmentation in 95% of the test videos.
  • Demonstrated the effectiveness of combining motion estimation and Gabor filtering for segmentation.
  • Showcased significant advancements in automated glottal space segmentation design.

Conclusions:

  • The developed method provides an effective approach for segmenting vocal fold endoscopic videos, even with poor image quality.
  • This technique represents a significant step towards a comprehensive tool for diagnosing vocal fold pathologies.
  • Future work aims to refine the method for clinical diagnostic applications.