利用主成份分析法設計與製作色度儀所需之濾光片;Design and Fabricate the Filters of Colorimeter by Using Principal Component Analysis Method

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/7080

Title:	利用主成份分析法設計與製作色度儀所需之濾光片;Design and Fabricate the Filters of Colorimeter by Using Principal Component Analysis Method
Authors:	陳巧瑄;Chiao-hsuan Chen
Contributors:	光電科學研究所
Keywords:	主成份分析法;濾光片;色彩;PCA;filter;color
Date:	2009-07-03
Issue Date:	2009-09-22 10:36:49 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	色彩影像的擷取技術在近年來發展迅速，而多光譜影像的擷取技術提供了便利且不受環境影響的優勢，在現今的色彩科技上被廣泛地使用。在本研究中使用多光譜影像擷取的方法：主成分分析法，分析孟塞爾色彩系統之1269個反射光譜，並且將分析的結果製鍍成干涉式濾光片。本研究製鍍之六片濾光片可用來作為任意的光譜重建之基底，利用此六片濾光片即可重建出任意的反射光譜，對於孟塞爾色彩系統之1269個反射光譜的重建，其整體的平均適配係數（GFC）達到0.965，呈現很好的光譜重建效果。The technique on color image acquisition has been developed rapidly lately. The multispectral image acquisition system is no longer restricted to environmental issue. Due to several advantages the color image acquisition technique has to offer, it is therefore used widely in the color technology. In this research, Principal Component Analysis is used in the multispectral image acquisition system to analyze 1,269 reflectance spectra of the Munsell color system. The analysis is then realized by the interference color filters fabrication. There are six color filters used to be the basis of an arbitrary spectrum in the research. The reconstructed spectra of the 1,269 reflectance spectra in the Munsell color system is evaluated by the goodness-of-fitting coefficient (GFC), and the average value of GFC for the 1,269 spectra is reached to 0.965. Therefore, the six color filters are presented with a good ability for spectra reconstruction.
Appears in Collections:	[Graduate Institute of Optics and Photonics] Electronic Thesis & Dissertation

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