2026-09-13T23:35:17Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/73782023-03-22T12:05:54Zcom_10259_4219com_10259_5086com_10259_2604col_10259_4220
“You Are Not My Type”: An Evaluation of Classification Methods for Automatic Phytolith Identification
Diez Pastor, José Francisco
Latorre Carmona, Pedro
Arnaiz González, Álvar
Ruiz Pérez, Javier
Zurro, Débora
Feature extraction
Machine learning
Microfossils
Morphometry
Proxy
Phytoliths can be an important source of information related to environmental and climatic change, as well as to ancient plant use by
humans, particularly within the disciplines of paleoecology and archaeology. Currently, phytolith identification and categorization is performed manually by researchers, a time-consuming task liable to misclassifications. The automated classification of phytoliths would allow
the standardization of identification processes, avoiding possible biases related to the classification capability of researchers. This paper presents a comparative analysis of six classification methods, using digitized microscopic images to examine the efficacy of different quantitative
approaches for characterizing phytoliths. A comprehensive experiment performed on images of 429 phytoliths demonstrated that the automatic phytolith classification is a promising area of research that will help researchers to invest time more efficiently and improve their
recognition accuracy rate.
2023-02-06
2023-02-06
2020-11
info:eu-repo/semantics/article
1431-9276
http://hdl.handle.net/10259/7378
10.1017/S1431927620024629
1435-8115
eng
Microscopy and Microanalysis. 2020, V. 26, n. 6, p. 1158-1167
https://doi.org/10.1017/S1431927620024629
info:eu-repo/grantAgreement/MINECO//TIN2015-67534-P/ES/ALGORITMOS DE ENSEMBLES PARA PROBLEMAS DE SALIDAS MULTIPLES. NUEVOS DESARROLLOS Y APLICACIONES/
info:eu-repo/grantAgreement/Junta de Castilla y León//BU085P17//Minería de datos para le mejora del mantenimiento y disponibilidad de máquinas de altas presiones/
info:eu-repo/grantAgreement/AGAUR//2017 SGR 212/
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Atribución 4.0 Internacional
Cambridge University Press