Infrared and Visible Image Fusion Using Threshold Segmentation and Weight Optimization-Reference-Cited by-同舟云学术

Infrared and Visible Image Fusion Using Threshold Segmentation and Weight Optimization

Published:2023-10-15 Issue:20 Volume:23 Page:24970-24982
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zhu De¹^ORCID,Zhang Yongkang¹,Gao Qingwei¹^ORCID,Lu Yixiang¹^ORCID,Sun Dong¹^ORCID

Affiliation:

1. Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment, the Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education, and the School of Electrical Engineering and Automation, Anhui University, Hefei, China

Funder

National Natural Science Foundation of China

Nature Science Foundation of Anhui

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10286142/10247244.pdf?arnumber=10247244

Reference40 articles.

1. Image fusion: Advances in the state of the art

2. Thermal infrared and visible sequences fusion tracking based on a hybrid tracking framework with adaptive weighting scheme

3. Infrared and visible image fusion using latent low rank technique for surveillance applications

4. SDNet: A Versatile Squeeze-and-Decomposition Network for Real-Time Image Fusion

5. Infrared and visible image fusion via gradient transfer and total variation minimization

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