1. Fusion algorithm of infrared and visible images based on frame difference detection technology and area feature
- Author
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Ru-Da, Jia, Yong-Gao, Chen, and Yin E, Zhang
- Abstract
ABSTRACTA 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.
- Published
- 2020
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