Spectral imaging by a multichannel camera
Spectral imaging by a multichannel camera
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DOI：
10.1117/12.334596
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发表时间：
1998-12
期刊：
影响因子：
--
通讯作者：
S. Tominaga
中科院分区：
文献类型：
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作者：
S. Tominaga
本文介绍了一套多通道相机系统和算法，用于从光谱成像数据中恢复表面光谱反射函数和光源光谱功率分布。我们展示了具有六个固定波段的光谱通道的相机系统。该系统是通过使用一个单色CCD相机，六个不同的彩色滤光片，和一台个人计算机。摄像机的动态范围被扩展以用于感测高光的高强度水平。我们假设在场景中，非均匀介质材料的物体表面由二色反射模型描述。光谱信息的估计过程包括几个步骤：（1）波长函数的有限维线性模型表示，（2）光源估计，（3）数据归一化和图像分割，（4）反射率估计。实验证明了摄像系统和算法的可靠性。最后简要介绍了一种采用液晶滤光片的新型系统。
A set of multi-channel camera systems and algorithms is described for recovering both the surface spectral- reflectance function and the illuminant spectral-power distribution from the data of spectral imaging. We show the camera system with six spectral channels of fixed wavelength bands. This system is created by using a monochrome CCD camera, six different color filters, and a personal computer. The dynamic range of the camera is extended for sensing the high intensity level of highlights. We suppose in a scene that the object surface of an inhomogeneous dielectric material is described by the dichromatic reflection model. The process for estimating the spectral information is composed of several steps of (1) the finite- dimensional linear model representation of wavelength functions, (2) illuminant estimation, (3) data normalization and image segmentation, (4) reflectance estimation. The reliability of the camera system and the algorithms is demonstrated in an experiment. Finally a new type of system using liquid crystal filters is briefly introduced.