Recognition of material types using spectral image
Recognition of material types using spectral image
复制标题
使用光谱图像识别材料类型
DOI：
10.1109/icpr.1996.546142
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发表时间：
1996
期刊：
影响因子：
--
通讯作者：
S. Inokuchi
中科院分区：
文献类型：
--
作者：
Y. Manabe;S. Inokuchi
提出了一种新的材料类型识别方法。为了实现这一想法，本文提出了一个简单的颜色反射模型的基础上，将彩色不透明物体分为三类：“金属”，“哑光非金属”和“光泽非金属”的二色反射模型。此外，描述了用于室内对象识别的光谱图像的处理。具有光谱仪的2D扫描的实验图像采集系统能够生成2D光谱图像，如多波段图像。作为光谱图像的应用，利用光谱图像识别材料类型，实验证明了该方法的有效性。
A new method of recognition of material types is described. To materialize this idea, this paper proposes a simple color reflection model based on a dichromatic reflection model which classifies colored opaque objects into three categories: "metallic", "matte nonmetallic" and "glossy nonmetallic". In addition processing of a spectral image for indoor object recognition is described. An experimental image acquisition system with 2D scanning of a spectrometer is able to generate 2D spectral images, like a multi-band image. As applications of the spectral images, a spectral image is used to recognise material types, and the validity of this method is shown by experiments.