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Imaging-Based Metrics Drawn from Visual Perception of Haze and Clarity of Materials. I. Method, Analysis, and Distance-Dependent Transparency

Busato, Stephan; Kremer, Daniel; Perevedentsev, Aleksandr 1
1 Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)

A versatile imaging‐based method is presented for quantifying the transparency of materials based on “illumination diffusion” (ID), representing scattering‐ and refraction‐induced change in the spatial distribution of transmitted light intensity. Samples are backlit through a graticule mask, with analysis performed by comparative evaluation of graticule images recorded as‐is and viewed through a sample, mimicking visual perception. ID‐haze is quantified as the reduction of contrast, while ID‐sharpness is derived from imaged knife‐edge acuity. Measurements are performed for diverse materials, including clarified polyolefins, silica‐filled amorphous polymers, semicrystalline films, and etched polymer sheets. Comparisons with the respective haze and clarity values obtained using a common ASTM D1003 haze‐meter are made in terms of their quantitative correlation and suitability for applications. In particular, unlike conventional instruments, ID‐based analysis captures the variation of transparency with sample‐to‐object “airgap” distance. Gratifyingly, ID‐haze generally features a one‐to‐one correlation with standard ASTM haze, when determined at a specific distance. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000131167
Veröffentlicht am 08.04.2021
DOI: 10.1002/mame.202100045
Zitationen: 1
Web of Science
Zitationen: 1
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Lichttechnisches Institut (LTI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1438-7492, 0003-3146, 1439-2054, 1522-9505
KITopen-ID: 1000131167
Erschienen in Macromolecular Materials and Engineering
Verlag John Wiley and Sons
Band 306
Heft 5
Seiten Art.-Nr.: 2100045
Vorab online veröffentlicht am 24.03.2021
Nachgewiesen in Dimensions
Web of Science
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