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

Gas Chromatography: Types of Detectors-II

Gas Chromatography: Types of Detectors-II

In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...

You might also read

Related Articles

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

Sort by

Same author

Redox/pH-responsive hollow manganese dioxide nanoparticles for thyroid cancer treatment.

Frontiers in chemistry·2023

Same author

Magnetic resonance/fluorescence dual-modality contrast agents targeting α<sub>v</sub>β<sub>6</sub>-overexpressing tumors based on A20FMDV2 peptide as a ligand.

Biochemical and biophysical research communications·2023

Same author

Aptamer-mediated hollow MnO<sub>2</sub> for targeting the delivery of sorafenib.

Drug delivery·2022

Same author

TDMQ20, a Specific Copper Chelator, Reduces Memory Impairments in Alzheimer's Disease Mouse Models.

ACS chemical neuroscience·2020

Same author

[The value of long-term postoperative follow-up after curative resection of lung cancer and common problems associated with it].

Nihon Geka Gakkai zasshi·2007

Same author

Identification of a type III thioesterase reveals the function of an operon crucial for Mtb virulence.

Chemistry & biology·2007

Search research articles

Related Experiment Video

Updated: Feb 17, 2026

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

Detection and Separation of Smoke From Single Image Frames.

Hongda Tian, Wanqing Li, Philip O Ogunbona

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|December 9, 2017

Summary

This study introduces new methods for smoke detection and separation from images. The novel approach accurately identifies smoke and distinguishes it from similar visual elements like fog and clouds.

More Related Videos

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

Published on: August 6, 2013

Automated Measurement of Pulmonary Emphysema and Small Airway Remodeling in Cigarette Smoke-exposed Mice

Automated Measurement of Pulmonary Emphysema and Small Airway Remodeling in Cigarette Smoke-exposed Mice

Published on: January 16, 2015

Related Experiment Videos

Last Updated: Feb 17, 2026

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

Published on: August 6, 2013

Automated Measurement of Pulmonary Emphysema and Small Airway Remodeling in Cigarette Smoke-exposed Mice

Automated Measurement of Pulmonary Emphysema and Small Airway Remodeling in Cigarette Smoke-exposed Mice

Published on: January 16, 2015

Area of Science:

Computer Vision
Image Processing
Remote Sensing

Background:

Accurate smoke detection and separation from single image frames are crucial for various applications, including fire detection and environmental monitoring.
Existing methods often struggle to differentiate smoke from visually similar phenomena like fog, haze, and clouds.

Purpose of the Study:

To develop novel methods for detecting and separating smoke from single image frames.
To improve the accuracy and robustness of smoke detection algorithms.
To effectively separate smoke from background components in images.

Main Methods:

Derivation of an image formation model based on atmospheric scattering.
Formulation of smoke and background separation as a convex optimization problem using sparse representation with dual dictionaries.
Construction of a novel feature by concatenating sparse coefficients for detection.
Development of an image matting-based method for separating true smoke and background components.

Main Results:

The proposed feature significantly outperforms existing features in smoke detection tasks.
The method successfully differentiates smoke from challenging objects like fog, haze, and clouds in grayscale images.
Experiments demonstrate the effectiveness of the proposed separation method in estimating and separating true smoke and background components.

Conclusions:

The developed methods provide a robust and accurate approach for smoke detection and separation from single image frames.
The novel feature representation enhances detection performance, particularly in distinguishing smoke from similar atmospheric phenomena.
The image matting technique enables effective separation of smoke from background elements, contributing to improved image analysis for fire and environmental monitoring.