Target Recognition Based on Infrared and Visible Image Fusion and Improved YOLOv8 Algorithm.

Wei Guo, Yongtao Li, Hanyan Li, Ziyou Chen, Enyong Xu, Shanchao Wang, Chengdong Gu

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Wei GuoSchool of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545616, China.

Yongtao LiSchool of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545616, China.

Hanyan LiSchool of Automation, Guangxi University of Science and Technology, Liuzhou 545616, China.

Ziyou ChenDongfeng Liuzhou Motor Co., Ltd., Liuzhou 545616, China.

Enyong XuDongfeng Liuzhou Motor Co., Ltd., Liuzhou 545616, China.

Shanchao WangDongfeng Liuzhou Motor Co., Ltd., Liuzhou 545616, China.

Chengdong GuSchool of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545616, China.

Funding

Guangxi Science and Technology Plan Project， Liuzhou Science and Technology Major Special Fund Project AA22068100, AB21220052,2022AAA0104

6 · The paper itself

Abstract

In response to the issue that the fusion process of infrared and visible images is easily affected by lighting factors, in this paper, we propose an adaptive illumination perception fusion mechanism, which was integrated into an infrared and visible image fusion network. Spatial attention mechanisms were applied to both infrared images and visible images for feature extraction. Deep convolutional neural networks were utilized for further feature information extraction. The adaptive illumination perception fusion mechanism is then integrated into the image reconstruction process to reduce the impact of lighting variations in the fused images. A Median Strengthening Channel and Spatial Attention Module (MSCS) was designed to be integrated into the backbone of YOLOv8. In this paper, we used the fusion network to create a dataset named

Indexed as

adaptive illumination perceptionattention mechanismchannel attention mechanismimage fusionmedian strengtheningspatial attention mechanismYOLOv8

Identifiers

PMID39338770

DOI10.3390/s24186025

PMCPMC11435943

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.