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ABSTRACT
A kind of fusion algorithm of infrared and visible images based on frame difference detection technology and area feature was proposed to increase the fusion quality of the infrared image and reduce complexity. Firstly, frame difference method was designed to complete detection on objectives in infrared images so as to conduct objective clustering and image segmentation; information among frames is used to complete accurate locating of objective; then different fusion rules were designed to complement effective information of visible light and infrared images as possible and complete image fusion according to features of objective area. The complexity of fusion algorithm in this thesis was analyzed theoretically. Meanwhile, fusion experiment was executed on two conditions of unmovable and observable objective in image of visible light and infrared light and movable and observable objective in image of visible light and infrared light; experiment result indicates that proposed technology has higher fusion quality and the fusion image can accurately reflect objective and background compared with current image fusion technology.
Disclosure statement
No potential conflict of interest was reported by the authors.
Additional information
Notes on contributors
Jia Ru-Da
Jia Ru-Da is associated with Zhejiang Industry Polytechnic college, China. His research area is mainly on fusion algorithms of images. He has published several research papers on this area and guides many in this area in different parts of the world. He does a lot of collaborative works.
Chen Yong-Gao
Chen Yong-Gao is working at Zhejiang Industry Polytechnic College, China. His area of research includes image processing in various areas. He has published several papers in this area. And he has been active in research in both image and signal processing and guides many projects in his area of research.
Zhang Yin E
Zhang Yin E is associated with Gannan Normal University, China. He works on image fusion techniques and collaborates with various researchers.