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首页> 外文会议>CIE Expert Symposium on Visual Appearance >THE MEASUREMENT OF MULTISPECTRAL TEXTURE AND ITS CONTRIBUTION TO AN EU FUNDED STUDY OF THE NATURALNESS OF SURFACES.
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THE MEASUREMENT OF MULTISPECTRAL TEXTURE AND ITS CONTRIBUTION TO AN EU FUNDED STUDY OF THE NATURALNESS OF SURFACES.

机译：多光谱纹理的测量及其对欧盟对表面自然度研究的贡献。

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Measurement of the texture of a surface requires the ability to evaluate topographical, spatial and pattern identification characteristics. It also requires an understanding of those physical attributes, which may hinder or confuse an automated system when assessing these characteristics, for example changes in the illumination can alter the appearance of the gloss, translucency, specular reflection, depth or shallowness of the pattern. In the approach described here, images of a sample target surface are captured using a multi-spectral 2-D imaging system, which enables characterisation of both the spatial and spectral properties of the target. Together with a consistent terminology this will lead to the establishment of a robust classification system, which will allow a precise description of the surface. A database and a set of algorithms are also being developed in order that, once a "texture" is classified, it can be accurately and repeatably recognised by a computer-controlled imaging system. The inclusion of multi-spectral information allows the decomposition of the surface texture into its spectral components and this can provide useful additional information. The characterization of surface textures will input into an EU study measuring 'naturalness'. The 'Measurement of Naturalness' or 'MONAT' project brings together a consortium of scientists, academics and industrialists from the UK, Ireland, France, Spain and The Netherlands, forming a multidisciplinary team with expertise in the areas of physical measurement, instrumentation, cognitive neuroscience, psychology and mathematical modelling. The results of an outline study into the perception of naturalness for samples of natural and synthetic wood and the modelling of this perception, in order to develop a generic experimental methodology for sensory metrology, is presented.
机译：测量表面的纹理需要能够评估地形，空间和图案识别特性的能力。它还需要了解这些物理属性，这些属性可能在评估这些特征时阻碍或混淆自动化系统，例如照明的变化可以改变图案的光泽，半透明，镜面反射，深度或浅滩的外观。在此处描述的方法中，使用多频谱2-D成像系统捕获样本目标表面的图像，其能够表征目标的空间和光谱特性。与一致的术语一起，这将导致建立强大的分类系统，这将允许精确描述表面。还在开发数据库和一组算法，以便，一旦“纹理”被分类，可以通过计算机控制的成像系统准确且可重复识别。包含多光谱信息允许将表面纹理的分解成其光谱分量，这可以提供有用的附加信息。表面纹理的表征将输入欧盟研究测量“自然”。 “自然主义”或“Monat”项目汇集了来自英国，爱尔兰，法国，西班牙和荷兰的科学家，学者和工业家联盟，在体检，仪器，认知领域拥有专业知识的多学科团队神经科学，心理学和数学建模。展示了对天然和合成木材样本的自然度的概述研究的结果，并提出了这种感知的建模，以便为感官计量进行通用实验方法。

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