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Volume 44 Issue 5
May  2022
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REN Quanhui, SUN Yijie, HUANG Cansheng. Infrared and Visible Image Fusion Algorithm Based on Regional Similarity[J]. Infrared Technology , 2022, 44(5): 492-496.
Citation: REN Quanhui, SUN Yijie, HUANG Cansheng. Infrared and Visible Image Fusion Algorithm Based on Regional Similarity[J]. Infrared Technology , 2022, 44(5): 492-496.
shu

Infrared and Visible Image Fusion Algorithm Based on Regional Similarity

  • 1.

    Henan Province Smart Education and Intelligent Technology Application Engineering Technology Research Center, Zhengzhou 451460, China

  • 2.

    College of Mathematics, Physics and Electronic Information Engineering, Guangxi Normal University for Nationalities, Chongzuo 532200, China

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  • Received Date: August 28, 2021
  • Revised Date: November 22, 2021
    Graphical Abstract
    • Abstract
  • To address the problems of local blur and incomplete background information in the traditional fusion algorithm of infrared and visible images, a new fusion algorithm is proposed in this paper. The edge detection operator was used to extract the image contour, and weighted fusion based on energy was also executed. The similarity between regions was used to extract the signal domain. Finally, image fusion is performed according to the over-signal strength. To verify the correctness of the algorithm, a comparative test was conducted and a quantitative analysis was performed using three parameters: standard deviation, information entropy, and average gradient. Compared with the traditional weighted average algorithm, the standard deviation of this method was up to 106.3 %. The test results confirmed that the fusion method proposed in this study has a better fusion effect and practical value.
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    • References (15)
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