Image-Based Separation of Reflective and Fluorescent Components Using Illumination Variant and Invariant Color
Image-Based Separation of Reflective and Fluorescent Components Using Illumination Variant and Invariant Color
复制标题
使用照明变量和不变颜色基于图像分离反射和荧光成分
DOI：
10.1109/tpami.2012.255
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发表时间：
2013
影响因子：
23.6
通讯作者：
Imari Sato
中科院分区：
文献类型：
--
作者：
Cherry Zhang;Imari Sato
传统上，研究人员倾向于排除荧光颜色外观算法在计算机视觉和图像处理，因为它的复杂性。事实上，荧光是一种在许多物体中观察到的非常普遍的现象，从宝石和珊瑚到不同种类的书写纸，再到我们的衣服。本文详细介绍了荧光现象的理论。特别是，我们表明，荧光的颜色外观是不受照明，它不同于普通的反射。此外，我们表明，具有反射和荧光成分的物体的颜色外观可以表示为两个组件的线性组合。线性模型允许我们使用独立分量分析（伊卡）在未知光源下拍摄的图像来分离这两个分量。所提出的方法的有效性证明使用各种荧光物体的数字图像。
Traditionally, researchers tend to exclude fluorescence from color appearance algorithms in computer vision and image processing because of its complexity. In reality, fluorescence is a very common phenomenon observed in many objects, from gems and corals, to different kinds of writing paper, and to our clothes. In this paper, we provide detailed theories of fluorescence phenomenon. In particular, we show that the color appearance of fluorescence is unaffected by illumination in which it differs from ordinary reflectance. Moreover, we show that the color appearance of objects with reflective and fluorescent components can be represented as a linear combination of the two components. A linear model allows us to separate the two components using images taken under unknown illuminants using independent component analysis (ICA). The effectiveness of the proposed method is demonstrated using digital images of various fluorescent objects.