Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 63,
  • Issue 6,
  • pp. 604-610
  • (2009)

Determination of the Absorption and Scattering Coefficients of Pigments: Application to the Identification of the Components of Pigment Mixtures

Not Accessible

Your library or personal account may give you access

Abstract

In most scattering media, the scattering centers have random shapes and sizes, preventing any theoretical approach for the determination of their absorption and scattering coefficients. Three different experimental protocols are here selected and briefly described. The obtained values are compared and then validated from a comparison with the most rigorous method. The Kubelka–Munk method, using a paint layer applied to both white and black backgrounds, is chosen to build a database of these coefficients for reference pigments. Using this database, the identification of the components of a pigment mixture using spectral measurements is realized and validated.

PDF Article
More Like This
Absorption and scattering of light by pigment particles in solar-absorbing paints

Marta Klanjšek Gunde and Zorica Crnjak Orel
Appl. Opt. 39(4) 622-628 (2000)

Precision of Determination of Kubelka and Munk Coefficients from Opaque Colorant Mixtures

D. G. Nickols and S. E. Orchard
J. Opt. Soc. Am. 55(2) 162-164 (1965)

Visible spectral dependence of the scattering and absorption coefficients of pigmented coatings from inversion of diffuse reflectance spectra

Fernando Curiel, William E. Vargas, and Rubén G. Barrera
Appl. Opt. 41(28) 5969-5978 (2002)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.