An open‐source inversion algorithm for the Munsell renotation
Abstract
The 1943 Munsell renotation includes a table that converts 2734 Munsell specifications into xyY coordinates, along with a graphical interpolation method and a graphical inversion method, that converts xyY coordinates back into Munsell specifications. This article presents open‐source computer code, running in Matlab or Octave, that both interpolates and inverts the Munsell renotation automatically. The steps in both algorithms are described in detail. Like previous inversion algorithms, it relies on interpolations between entries in the 1943 table. For colours near the MacAdam limits, the inversion also requires extrapolations beyond the 1943 entries. The outputs of the current implementation do not differ significantly from the outputs of other inversion algorithms. The main distinguishing feature of the current algorithm is that both the algorithm and code implementation are publicly available. © 2011 Wiley Periodicals, Inc. Col Res Appl, 2011;
Citing Literature
Number of times cited according to CrossRef: 9
- Marcelo Mancini, David C. Weindorf, Maria Eduarda Carvalho Monteiro, Álvaro José Gomes de Faria, Anita Fernanda dos Santos Teixeira, Wellington de Lima, Francielle Roberta Dias de Lima, Thaís Santos Branco Dijair, Francisco D'Auria Marques, Diego Ribeiro, Sérgio Henrique Godinho Silva, Somsubhra Chakraborty, Nilton Curi, From sensor data to Munsell color system: Machine learning algorithm applied to tropical soil color classification via Nix™ Pro sensor, Geoderma, 10.1016/j.geoderma.2020.114471, 375, (114471), (2020).
- Filippo Luigi Maria Milotta, Giuseppe Furnari, Camillo Quattrocchi, Stefania Pasquale, Dario Allegra, Anna Maria Gueli, Filippo Stanco, Davide Tanasi, Challenges in automatic Munsell color profiling for cultural heritage, Pattern Recognition Letters, 10.1016/j.patrec.2019.12.008, (2019).
- Jennifer Marie Binzak Fugate, Courtny L. Franco, What Color Is Your Anger? Assessing Color-Emotion Pairings in English Speakers, Frontiers in Psychology, 10.3389/fpsyg.2019.00206, 10, (2019).
- Ángel Marqués-Mateu, Héctor Moreno-Ramón, Sebastià Balasch, Sara Ibáñez-Asensio, Quantifying the uncertainty of soil colour measurements with Munsell charts using a modified attribute agreement analysis, CATENA, 10.1016/j.catena.2018.06.027, 171, (44-53), (2018).
- Filippo Luigi Maria Milotta, Camillo Quattrocchi, Filippo Stanco, Davide Tanasi, Stefania Pasquale, Anna Maria Gueli, undefined, 2018 Metrology for Archaeology and Cultural Heritage (MetroArchaeo), 10.1109/MetroArchaeo43810.2018.9089781, (466-470), (2018).
- Filippo Luigi Maria Milotta, Davide Tanasi, Filippo Stanco, Stefania Pasquale, Giuseppe Stella, Anna Maria Gueli, Automatic color classification via Munsell system for archaeology, Color Research & Application, 10.1002/col.22277, 43, 6, (929-938), (2018).
- Filippo L. M. Milotta, Filippo Stanco, Davide Tanasi, Anna M. Gueli, Munsell Color Specification using ARCA (Automatic Recognition of Color for Archaeology), Journal on Computing and Cultural Heritage, 10.1145/3216463, 11, 4, (1-15), (2018).
- Filippo L. M. Milotta, Filippo Stanco, Davide Tanasi, ARCA (Automatic Recognition of Color for Archaeology): A Desktop Application for Munsell Estimation, Image Analysis and Processing - ICIAP 2017, 10.1007/978-3-319-68548-9_60, (661-671), (2017).
- Kevin A. G. Smet, Michael A. Webster, Lorne A. Whitehead, A simple principled approach for modeling and understanding uniform color metrics, Journal of the Optical Society of America A, 10.1364/JOSAA.33.00A319, 33, 3, (A319), (2016).




