Mr. Yanwei Chen Profile

Yanwei Chen

at 713 Research Institute of China State Shipbuilding Corp. Ltd.

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Proceedings Article | 5 October 2021 Paper

Dual-band fire image fusion algorithm based on NSST and feature weighting

Mengshi Li, Yanwei Chen

Proceedings Volume 11911, 119111Q (2021) https://doi.org/10.1117/12.2604701

KEYWORDS: Image fusion, Infrared imaging, Visible radiation, Infrared radiation, Image quality, RGB color model, Image information entropy, Visualization, Silver, Flame detectors

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In order to make up for the lack of information caused by a single band image in fire detection, improve the ability of fire detection and early warning, and enhance the completeness and accuracy of the description of fire scenes, this paper proposes an image fusion algorithm based on NSST and feature weighting to detect the visible light in the fire area. Fusion with infrared images. First, the color visible light and infrared images are converted and grayed by HSI to obtain the source image required for fusion. Secondly, NSST transform is performed on the source image to obtain the low-frequency and high-frequency subband coefficients. Subsequently, the low-frequency coefficients are fused using contrast feature weighting and color transfer technology, and the high-frequency coefficients are fused using variance weighted information entropy feature weighting. Then, perform NSST inverse transform and HSI inverse transform on the fused coefficients to obtain the fused image. Finally, through subjective visual perception and objective evaluation indicators, the images fused with different algorithms are evaluated, and the performance difference between the traditional algorithm and the algorithm in this paper is discussed. The experimental results show that the image fused with the algorithm in this paper has higher contrast, richer texture, clearer outline and better visual effect.

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