基于拮抗特性模型的夜视微光图像与红外图像彩色融合

作者

  • 曹 欣然 厦门大学,航空航天学院,厦门 361102 作者
  • 马 慧鋆 北京工商大学,计算机与人工智能学院,北京 100048 作者

DOI:

https://doi.org/10.52810/FAAI.2024.004

关键词:

计算机视觉, 特征跟踪, 光流法, 视觉特征, 视觉跟踪

摘要

融合可以有效地利用可见光图像的色彩信息得到较好的可视效果,又可以充分利用红外图像获得人眼无法观察到的红外信息,具有广阔的应用前景。论文首先采用拮抗特性模型中的中心-周边对抗网络对红外与微光图像进行增强,利用区域生长方法对增强后红外图像进行分割,根据分割后各区域亮度得到目标图像。在融合阶段加入两种融合运算:采用选择运算将目标图像信息融合到增强后微光背景中作为亮度通道的输入;利用拮抗特性模型将经采用区域生长法得到红外图像和增强后的微光图像进行融合,作为饱和度通道的输入。同时,直接将增强的微光图像送入调色通道, 作为彩色融合图像的背景进行调色,最后通过彩色重映射并加以显示。实验结果获得的图像具有较好的目标指示特性,色彩更适合人眼观察,有利于提高对目标情景的感知能力。

作者简历

  • 作者
    曹欣然,北京市人,厦门大学航空航天学院2023级学生,研究方向:人工智能、电子信息
  • 作者
    马慧鋆, 2010年毕业于长春光机学院原子与分子物理专业,获硕士学位,研究方向为复杂系统建模、模式识别与信息融合、机器学习等。

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2024-05-28

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引用本文

欣然曹., & 慧鋆马. (2024). 基于拮抗特性模型的夜视微光图像与红外图像彩色融合. 人工智能前沿与应用, 1(1), 45-53. https://doi.org/10.52810/FAAI.2024.004