Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Centroid of a Body: Problem Solving

Centroid of a Body: Problem Solving

The centroid of a body is a crucial concept in engineering and physics. Finding the centroid of a body can help determine its stability, its balance point, and even its design. In this context, consider a thin wire bent in the form of a quarter circular arc. Polar coordinates are used to calculate the centroid. The wire is first divided into small differential elements of a length equal to the radius multiplied by the differential angle.
The x-coordinates and y-coordinates of each element's...

Centroid of a Body

Centroid of a Body

The centroid is an important concept in engineering, physics, and mechanics. It is the geometric center of a body. It always lies within the body except in cases with holes or cavities. When the material that a body is composed of is uniform or homogeneous, the centroid coincides with its center of mass or the center of gravity.
For a homogeneous body with constant density, the centroid can usually be found using equations representing a balance of the moments of the body's volume. If the...

You might also read

Related Articles

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

Sort by

Same author

Indoor and outdoor measurements and validation of laser polarization transmission characteristics under sea fog conditions.

Optics express·2026

Same author

10 years trends and hospitalization outcomes of non-neonatal tetanus: a large-scale multicenter retrospective study in China.

Critical care (London, England)·2026

Same author

Application of susceptibility-weighted imaging in staging diagnosis of ischemic cerebral infarction and its prognostic value.

Frontiers in neurology·2026

Same author

Inhibition of the NLRP3 pathway as a strategy for SLE therapy.

Bioorganic chemistry·2026

Same author

Characterization of clinical risk factors for enhanced molecular residual disease monitoring in resected early-stage non-small cell lung cancer.

BMC cancer·2025

Same author

Loss of B3GAT1/HNK-1 disrupts glioma-CD8<sup>+</sup> T cell immune synapse formation for immune escape.

International immunopharmacology·2025

Search research articles

Related Experiment Video

Updated: Jul 25, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Improving Semantic Segmentation via Decoupled Body and Edge Information.

Lintao Yu¹, Anni Yao¹, Jin Duan¹

¹College of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.

Entropy (Basel, Switzerland)

|June 28, 2023

Summary

This summary is machine-generated.

This study introduces a novel dual-stream CNN for semantic segmentation, enhancing object boundary and small object detection. The method achieves state-of-the-art results on the Cityscapes dataset.

Keywords:

body stream decoupling edge stream non-edge suppression layer semantic segmentation

More Related Videos

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

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

Published on: November 30, 2022

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Related Experiment Videos

Last Updated: Jul 25, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

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

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

Published on: November 30, 2022

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Area of Science:

Computer Vision
Deep Learning
Image Segmentation

Background:

Semantic segmentation is crucial for scene understanding.
Accurate segmentation of object boundaries and small objects remains challenging.
Existing methods often struggle with fine details and object interiors.

Purpose of the Study:

To propose a novel dual-stream CNN architecture for improved semantic segmentation.
To enhance the segmentation of object boundaries and small objects.
To achieve state-of-the-art performance on challenging datasets.

Main Methods:

A dual-stream CNN architecture with decoupled body and edge feature processing.
A body-stream module that learns flow-field offsets to enhance inner consistency.
An edge-stream module with a non-edge suppression layer to emphasize edge information.

Main Results:

Significant improvement in segmenting small objects and object boundaries.
Achieved state-of-the-art performance on the Cityscapes dataset.
Attained 82.6% mIoU on Cityscapes using only fine-annotated data.

Conclusions:

The proposed dual-stream CNN effectively handles object interiors and boundaries.
Decoupling feature processing enhances segmentation accuracy for difficult objects.
The method demonstrates strong performance and efficiency on large-scale datasets.