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Practical Camera Characterisation for Colour Measurement

机译:用于颜色测量的实用相机特性

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摘要

This paper reviews the major issues involved in the use of digital cameras to derive the CIE X, Y, Z tristimulus values of the objects in real scenes. Both practical and theoretical investigations have been carried out to gain experience in this specialised field of imaging. The practicalities of camera characterisation described include: lighting -spectral power and uniformity, test target - choice and number of colours, camera signal processing - linear or gamma corrected, colour analysis - filter transmittance and infra-red filtration, characterisation method - linear or higher order, quality measure - CIELAB, CMC, CIE94 colour difference, and quality statistic - mean, median etc. It is shown that the choice of colour separation filtration is the most sensitive variable. If a 'colour' camera is used, then it needs to be carefully selected: a more adaptable choice, however, may be a monochrome camera with external filters. In addition, the illumination uniformity of the test target is shown to be important: that it is never perfectly uniform must be considered in the characterisation process. With careful selection of system components, a median value of less than 1.0 CIELAB colour difference between the required and the predicted colorimetry can be obtained.
机译:本文回顾了使用数码相机得出真实场景中对象的CIE X,Y,Z三刺激值时涉及的主要问题。进行了实践和理论研究,以获取在成像专业领域的经验。所描述的摄像机表征的实用性包括:照明-光谱功率和均匀性,测试目标-颜色的选择和数量,摄像机信号处理-线性或伽马校正,色彩分析-滤光片透射率和红外滤光,表征方法-线性或更高顺序,质量度量-CIELAB,CMC,CIE94色差和质量统计-均值,中位数等。结果表明,分色过滤的选择是最敏感的变量。如果使用“彩色”相机,则需要仔细选择:但是,更合适的选择可能是带有外部滤镜的单色相机。此外,测试目标的照度均匀度也很重要:在表征过程中必须始终考虑照度均匀度。通过仔细选择系统组件,可以获得所需色度和预测色度之间的中值小于1.0 CIELAB色差。

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