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

You might also read

Related Articles

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

Sort by

Same author

Efficacy and Safety of Lianhua Qingke Tablets in Children With Mycoplasma pneumoniae Pneumonia: A Randomized, Double-Blind, Multicenter, Placebo-Controlled Clinical Trial.

The clinical respiratory journal·2026

Same author

Research progress of OTUD7B: from structural function and disease mechanisms to clinical translation.

Frontiers in immunology·2026

Same author

Red blood cell distribution width in pediatric congenital heart disease: A review of clinical applications.

Medicine·2026

Same author

Press needle therapy combined with Western medicine for treating acute lower respiratory tract infections caused by respiratory syncytial virus in children under 5 years of age: A retrospective cohort study.

Medicine·2025

Same author

Complementary role of echocardiography, karyotyping, and chromosomal microarray in congenital cardiac anomalies.

Frontiers in medicine·2025

Same author

Medium- to Long-Term Follow-Up Study on Modified Manchester Procedure for Pelvic Organ Prolapse.

International urogynecology journal·2025

Same journal

An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models.

IEEE transactions on cybernetics·2026

Same journal

A Quantum Self-Attention Neural Network Model on Quantum Circuits.

IEEE transactions on cybernetics·2026

Same journal

Semi-Explicit Solution of Some Discrete-Time Higher-Order-Cost Mean-Field-Type Control.

IEEE transactions on cybernetics·2026

Same journal

A Novel One-Step Small Object Detector for Autonomous Aerial Vehicles.

IEEE transactions on cybernetics·2026

Same journal

Online Data-Driven-Based Optimal Output Tracking Control Without Initial Stabilizing Policy.

IEEE transactions on cybernetics·2026

Same journal

Digital Redesign-Based Interval State Estimation for Continuous Systems With Aperiodic Discrete Measurements.

IEEE transactions on cybernetics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 23, 2026

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

A multiple-feature and multiple-kernel scene segmentation algorithm for humanoid robot.

Zhi Liu, Shuqiong Xu, Yun Zhang

IEEE Transactions on Cybernetics

|September 24, 2014

Summary

This summary is machine-generated.

This study introduces a novel multiple-feature, multiple-kernel support vector machine (MFMK-SVM) for robust robot vision. The method enhances scene segmentation accuracy using advanced feature extraction and clustering techniques.

More Related Videos

Automated Joint Space Detection Improves Bone Segmentation Accuracy

Automated Joint Space Detection Improves Bone Segmentation Accuracy

Published on: November 28, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Related Experiment Videos

Last Updated: Apr 23, 2026

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

Automated Joint Space Detection Improves Bone Segmentation Accuracy

Automated Joint Space Detection Improves Bone Segmentation Accuracy

Published on: November 28, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Area of Science:

Computer Vision
Robotics
Machine Learning

Background:

Reliable scene segmentation is crucial for humanoid robot navigation and interaction.
Existing methods often struggle with robustness and feature integration in complex environments.

Purpose of the Study:

To develop a more reliable and robust scene segmentation methodology for humanoid robots.
To leverage multiple features and multiple kernels for improved performance.

Main Methods:

A multiple-feature and multiple-kernel support vector machine (MFMK-SVM) approach was developed.
Pixel-wise features (intensity, gradient, C1 SMF) were extracted using local homogeneity and Gabor filters.
A novel feature validity-interval type-2 fuzzy C-means (FV-IT2FCM) clustering algorithm was proposed for robust clustering and training sample selection.

Main Results:

The MFMK-SVM method demonstrated superior performance in scene segmentation.
Experiments on the BSDS dataset and real natural scenes validated the proposed approach.
The integration of multiple features and kernels enhanced segmentation reliability.

Conclusions:

The proposed MFMK-SVM methodology offers a significant advancement in robot vision scene segmentation.
The FV-IT2FCM clustering algorithm improves the robustness and reliability of the segmentation process.
This approach effectively utilizes multiple features and kernels for enhanced computational efficiency and accuracy.