梁建安, 刘斌, 梁美彦, 郭亚飞. 基于彩色偏振图像的HSV空间目标增强方法[J]. 应用光学, 2023, 44(3): 548-555. DOI: 10.5768/JAO202344.0302002
引用本文: 梁建安, 刘斌, 梁美彦, 郭亚飞. 基于彩色偏振图像的HSV空间目标增强方法[J]. 应用光学, 2023, 44(3): 548-555. DOI: 10.5768/JAO202344.0302002
LIANG Jian'an, LIU Bin, LIANG Meiyan, GUO Yafei. Target enhancement method in HSV color space based on color polarized image[J]. Journal of Applied Optics, 2023, 44(3): 548-555. DOI: 10.5768/JAO202344.0302002
Citation: LIANG Jian'an, LIU Bin, LIANG Meiyan, GUO Yafei. Target enhancement method in HSV color space based on color polarized image[J]. Journal of Applied Optics, 2023, 44(3): 548-555. DOI: 10.5768/JAO202344.0302002

基于彩色偏振图像的HSV空间目标增强方法

Target enhancement method in HSV color space based on color polarized image

  • 摘要: 针对复杂背景条件下目标难以识别的问题,采用彩色偏振成像技术,提出了一种基于彩色偏振图像的目标增强方法。该方法首先根据分焦平面彩色偏振相机获得的数据得到彩色线偏振度(degree of linear polarization,DoLP)、彩色偏振角(angle of polarization,AoP)和彩色强度(S0)图像;然后利用目标和背景的彩色偏振特性差异大的特点提取DoLP、AoP和S0的视觉显著度,使目标得到初步的增强;随后将3种视觉显著度图像转到HSV空间进行融合,最后转到RGB空间显示。使用对比度和矢量角度距离作为客观评价指标开展实验,多个实验场景数据表明,融合图像的对比度和矢量角度距离分别比融合前图像最高提升了3.971倍和1.711倍。

     

    Abstract: Aiming at the problem that the target is difficult to identify under complex background conditions, the color polarization imaging technology was adopted to propose a target enhancement method based on the color polarization image. Firstly, the degree of linear polarization (DoLP), angle of polarization (AoP) and color intensity (S0) images were obtained according to the data from the split-focal plane color polarization camera. Then, the visual salience of DoLP, AoP and S0 was extracted by using the large difference of color polarization characteristics between targets and backgrounds, so that the targets were initially enhanced. Moreover, the three visual salience images were transferred to HSV space for fusion, and finally transferred to RGB space for display. Experiments were conducted by using contrast and vector angle distance as the objective evaluation indexes. The multiple experimental scene data show that the contrast and vector angular distance of the fused images are 3.971 times and 1.711 times higher than those of the images before fusion, respectively.

     

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