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Advanced surface color quality assessment in paper-based full-color 3d printing

Tian, Jieni; Yuan, Jiangping 1; Li, Hua; Yao, Danyang; Chen, Guangxue
1 Institut für Visualisierung und Datenanalyse (IVD), Karlsruher Institut für Technologie (KIT)

Abstract:

Color 3D printing allows for 3D-printed parts to represent 3D objects more realistically, but its surface color quality evaluation lacks comprehensive objective verification considering printing materials. In this study, a unique test model was designed and printed using eco-friendly and vivid paper-based full-color 3D printing as an example. By measuring the chromaticity, roughness, glossiness, and whiteness properties of 3D-printed surfaces and by acquiring images of their main viewing surfaces, this work skillfully explores the correlation between the color representation of a paper-based 3D-printed coloring layer and its attached underneath blank layer. Quantitative analysis was performed using ΔE*ab, feature similarity index measure of color image (FSIMc), and improved color-image-difference (iCID) values. The experimental results show that a color difference on color-printed surfaces exhibits a high linear correlation trend with its FSIMc metric and iCID metric. The qualitative analysis of microscopic imaging and the quantitative analysis of the above three surface properties corroborate the prediction of the linear correlation between color difference and image-based metrics. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000130318
Veröffentlicht am 12.03.2021
Originalveröffentlichung
DOI: 10.3390/ma14040736
Scopus
Zitationen: 9
Dimensions
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Visualisierung und Datenanalyse (IVD)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1996-1944
KITopen-ID: 1000130318
Erschienen in Materials
Verlag MDPI
Band 14
Heft 4
Seiten 1-13
Vorab online veröffentlicht am 04.02.2021
Schlagwörter 3D printing; surface property; quality evaluation; color printing; image quality metric
Nachgewiesen in Dimensions
Scopus
Web of Science
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