Open AccessAdaptive brightness fusion method for intraoperative near-infrared fluorescence and visible images
Author(s) -
Chong Zhang,
Kun Wang,
Jie Tian
Publication year - 2022
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.446176
Subject(s) - brightness , fusion , computer vision , computer science , artificial intelligence , adaptive optics , optics , infrared , usability , materials science , segmentation , image fusion , sensor fusion , fluorescence , biomedical engineering , image (mathematics) , physics , medicine , philosophy , linguistics , human–computer interaction
An adaptive brightness fusion method (ABFM) for near-infrared fluorescence imaging is proposed to adapt to different lighting conditions and make the equipment operation more convenient in clinical applications. The ABFM is designed based on the network structure of Attention Unet, which is an image segmentation technique. Experimental results show that ABFM has the function of adaptive brightness adjustment and has better fusion performance in terms of both perception and quantification. Generally, the proposed method can realize an adaptive brightness fusion of fluorescence and visible images to enhance the usability of fluorescence imaging technology during surgery.