Testing color reference charts for the herbarium digitization purposes
PDF

Keywords

herbarium digitization
image quality assessment
color reference
color checker
delta E
delta L
delta H

How to Cite

Novikov, A., Sup-Novikova, M., Nachychko, V., & Kuzyarin, O. (2024). Testing color reference charts for the herbarium digitization purposes. Plant Introduction, (101/102), 34-43. https://doi.org/10.46341/PI2024004

Abstract

The current paper represents the continuation of the testing of the budget photosystems for herbarium digitization and aims to demonstrate the color reproduction accuracy besides other colorimetric characteristics of five color reference targets. It was shown that cheap color reference targets of Charttu can be applied for digitization purposes, at least in the brand-new condition. However, the color degradation of Charttu targets during use should still be evaluated. At the same time, the color accuracy of the X-Rite Color Checker Classic Mini was found to be highly degraded after several years of careful and non-intensive use. The Golden Thread Object Level target was found to be the best solution for herbarium digitization and the most resistant to color degradation, even in intensive and long use.

https://doi.org/10.46341/PI2024004
PDF

References

Ball-Damerow, J.E., Brenskelle, L., Barve, N., Soltis, P.S., Sierwald, P., Bieler, R., LaFrance, R., Ariño, A.H., & Guralnick, R.P. (2019). Research applications of primary biodiversity databases in the digital age. PLoS ONE, 14(9), Article e0215794. https://doi.org/10.1371/journal.pone.0215794

Baratè, A., Caccianiga, M., Caporali, E., Ludovico, L.A., Pinto, S., Presti, G., Sala, E., & Testa, A. (2020). Preserving and promoting the herbarium of the University of Milan through digital technologies. IOP Conference Series: Materials Science and Engineering, 949(1), Article 012066. https://doi.org/10.1088/1757-899X/949/1/012066

Boronkay, G. (2024). Colour conversion centre 4.2b (CCC). https://ccc.orgfree.com/

De Smedt, S., Bogaerts, A., De Meeter, N., Dillen, M., Engledow, H., Van Wambeke, P., Leliaert, F., & Groom, Q. (2024). Ten lessons learned from the mass digitisation of a herbarium collection. PhytoKeys, 244, 23–37. https://doi.org/10.3897/phytokeys.244.120112

Fogra. (2020). dE00 Excel plugin. https://fogra.org/en/downloads/work-tools/processstandard-digital-psd

Gasper, A.L., Heiden, G., Versieux, L.M., Leitman, P.M., & Forzza, R.C. (2021). Challenges and lessons learned from digitizing small Brazilian herbaria. Acta Botanica Brasilica, 35(4), 689–697. https://doi.org/10.1590/0102-33062020abb0246

Gilchrist, A., & Nobbs, J. (2000). Colorimetry, theory. In J. Lindon, J. Holmes, G. Tranter (Eds.), Encyclopedia of spectroscopy and spectrometry (pp. 328–333). Academic Press.

Green, P. (2023). Colorimetry and colour difference. In P. Green (Ed.), Fundamentals and applications of colour engineering (pp. 27–52). Wiley. https://doi.org/10.1002/9781119827214.ch2

Guiraud, M., Groom, Q., Bogaerts, A., De Smedt, S., Dillen, M., Saarenmaa, H., Wijkamp, N., Van der Mije, S., Wijers, A., & Wu, Z. (2019). Best practice guidelines for imaging of herbarium specimens. Zenodo. https://doi.org/10.5281/zenodo.3524263

Heberling, J.M., Miller, J.T., Noesgaard, D., Weingart, S.B., & Schigel, D. (2021). Data integration enables global biodiversity synthesis. Proceedings of the National Academy of Sciences of the United States of America, 118(6), Article e2018093118. https://doi.org/10.1073/pnas.2018093118

Holmes, M.W., Hammond, T.T., Wogan, G.O.U., Walsh, R.E., LaBarbera, K., Wommack, E.A., Martins, F.M., Crawford, J.C., Mack, K.L., Bloch, L.M., & Nachman, M.W. (2016). Natural history collections as windows on evolutionary processes. Molecular Ecology, 25, 864-881. https://doi.org/10.1111/mec.13529

iDigBio. (2015). Workflows. Herbarium digitization. https://www.idigbio.org/wiki/index.php/Workflows_Herbarium_Digitization#iDigBio_Workflows

ImageZebra. (2024). ImageZebra website. https://imagezebra.com/

Ledesma, D.A., Powell, C.A., Shaw, J., & Qin, H. (2020). Enabling automated herbarium sheet image post-processing using neural network models for color reference chart detection. Applications in Plant Sciences, 8(3), Article e11331. https://doi.org/10.1002%2Faps3.11331

Lindbloom, B. (2017). Delta E (CIE 2000). http://www.brucelindbloom.com/index.html?Eqn_DeltaE_CIE2000.html

Nelson, G., & Ellis, S. (2018). The history and impact of digitization and digital data mobilization on biodiversity research. Philosophical Transactions of the Royal Society B, 374, Article 1763. https://doi.org/10.1098/rstb.2017.0391

Nieva de la Hidalga, A., Rosin, P.L., Sun, X., Bogaerts, A., De Meeter, N., De Smedt, S., Strack van Schijndel, M., Van Wambeke, P., & Groom, Q. (2020). Designing an herbarium digitisation workflow with built-in image quality management. Biodiversity Data Journal, 8, Article e47051. https://doi.org/10.3897/BDJ.8.e47051

Novikov, A., Sup-Novikova, M., Nachychko, V., & Kuzyarin, O. (2023). Testing budget photosystems to reach an optimal solution for the herbarium digitization purposes. Plant Introduction, 99/100, 36–50. https://doi.org/10.46341/PI2023010

Rieger, T., Phelps, K.A., Beckerle, H., Brown, T., Frederick, R., Mitrani, S., Breen, P., Breitbart, M., Williams, D., Triplett, R., & Horsley, M. (2023). Technical guidelines for digitizing cultural heritage materials (3rd ed.). Federal Agencies Digitization Guidelines Initiative, USA.

Sharma, G., Wu, W., & Dalal, E.N. (2005). The CIEDE2000 color-difference formula: implementation notes, supplementary test data, and mathematical observations. Color Research & Application, 30(1), 21–30. https://doi.org/10.1002/col.20070

Shultz, A.J., Adams, B.J., Bell, K.C., Ludt, W.B., Pauly, G.B., & Vendetti, J.E. (2020). Natural history collections are critical resources for contemporary and future studies of urban evolution. Evolutionary Applications, 14(1), 233–247. https://doi.org/10.1111/eva.13045

Sweeney, P.W., Starly, B., Morris, P.J., Xu, Y., Jones, A., Radhakrishnan, S., Grassa, C.J., & Davis, C.C. (2018). Large-scale digitization of herbarium specimens: development and usage of an automated, high-throughput conveyor system. Taxon, 67(1), 165–178. https://doi.org/10.12705/671.10

Takano, A., Horiuchi, Y., Fujimoto, Y., Aoki, K., Mitsuhashi, H., & Takahashi, A. (2019). Simple but long-lasting: a specimen imaging method applicable for small-and medium-sized herbaria. PhytoKeys, 118, 1–14. https://doi.org/10.3897/phytokeys.118.29434

Tegelberg, R., Mononen, T., & Saarenmaa, H. (2014). High-performance digitization of natural history collections: automated imaging lines for herbarium and insect specimens. Taxon, 63, 1307–1313. https://doi.org/10.12705/636.13

Wetzel, F.T., Bingham, H.C., Groom, Q.J., Haase, P., Kõljalg, U., Kuhlmann, M., Martin, C., Penev, L., Robertson, T., Saarenmaa, H., Schmeller, D.S., Stoll, S., Tonkin, J.D., & Häuser, C.L. (2018). Unlocking biodiversity data: prioritization and filling the gaps in biodiversity observation data in Europe. Biological Conservation, 221, 78–85. https://doi.org/10.1016/j.biocon.2017.12.024

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Downloads

Download data is not yet available.