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首页> 外文会议>Tenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, Applications Nov 12-15, 2002 Scottsdale, Arizona, USA >Representative Data Selection for Standard Object Colour Spectra Database (SOCS)
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Representative Data Selection for Standard Object Colour Spectra Database (SOCS)

机译：标准物色光谱数据库（SOCS）的代表性数据选择

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摘要

'Standard Object Colour Spectra Database for Colour Reproduction Evaluation (SOCS)', which contains about 50,000 object color reflectances/transmittances, was published as a Japanese Industrial Standard Technical Report (JIS-TR) in 19981. To promote, widen and standardize usage of SOCS, we selected representative data sets, including both typical sets and difference sets. Typical set samples have average characteristics of whole data in an object group, and difference set samples have metameric characteristics to corresponding typical set samples, respectively. This paper describes concepts, purposes and algorithms by which they were selected from many spectral data samples. A total of 365 representative data samples (235 samples for typical sets and 130 samples for difference sets) were selected and evaluated to determine whether they meet the purposes for the sets. An experiment verified that they are very useful in the following applications. (a) Determination of simple color correction matrix using typical sets. (b) Easy evaluation of color reproduction quality for color sensors by a combinatorial use of typical and difference sets. ISO/TC130/WG2 is discussing SOCS as a new ISO technical report. The above-mentioned representative data sets will be the principal part of the technical report.
机译：19981年，日本工业标准技术报告（JIS-TR）出版了包含约50,000种物体颜色反射率/透射率的“用于色彩再现评估的标准物体颜色光谱数据库（SOCS）”。为促进，扩展和标准化该技术的使用，在SOCS中，我们选择了代表性数据集，包括典型数据集和差异数据集。典型集合样本具有对象组中整个数据的平均特征，而差异集合样本分别具有对应于相应典型集合样本的同分异构特征。本文介绍了从许多光谱数据样本中选择它们的概念，目的和算法。总共选择了365个代表性数据样本（典型集合为235个样本，差异集合为130个样本）并进行评估，以确定它们是否满足集合的目的。实验验证了它们在以下应用中非常有用。 （a）使用典型集合确定简单的色彩校正矩阵。 （b）通过组合使用典型和差异集，可以轻松评估颜色传感器的颜色再现质量。 ISO / TC130 / WG2正在讨论SOCS作为新的ISO技术报告。上述代表性数据集将是技术报告的主要部分。

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