RT info:eu-repo/semantics/article
T1 Automated Diatom Classification (Part A): Handcrafted Feature Approaches
A1 Bueno García, María Gloria
A1 Déniz Suárez, Óscar
A1 Pedraza, Aníbal
A1 Ruiz-Santaquiteria Alegre, Jesús
A1 Salido Tercero, Jesús
A1 Cristóbal Pérez, Gabriel
A1 Borrego Ramos, María
A1 Blanco Lanza, Saúl
A2 Ecologia
K1 Biología
K1 Ecología. Medio ambiente
K1 Feature analysis
K1 Textural features
K1 Automatic classification
K1 Handcrafted approaches
K1 Diatoms
K1 2417.07 Algología (Ficología)
K1 2417.20 Taxonomía Vegetal
AB [EN] This paper deals with automatic taxa identification based on machine learning methods. The aim is therefore to automatically classify diatoms, in terms of pattern recognition terminology. Diatoms are a kind of algae microorganism with high biodiversity at the species level, which are useful for water quality assessment. The most relevant features for diatom description and classification have been selected using an extensive dataset of 80 taxa with a minimum of 100 samples/taxon augmented to 300 samples/taxon. In addition to published morphological, statistical and textural descriptors, a new textural descriptor, Local Binary Patterns (LBP), to characterize the diatom’s valves, and a log Gabor implementation not tested before for this purpose are introduced in this paper. Results show an overall accuracy of 98.11% using bagging decision trees and combinations of descriptors. Finally, some phycological features of diatoms that are still difficult to integrate in computer systems are discussed for future work
PB MDPI
LK https://hdl.handle.net/10612/19275
UL https://hdl.handle.net/10612/19275
NO Bueno, G., Deniz, O., Pedraza, A., Ruiz-Santaquiteria, J., Salido, J., Cristóbal, G., Borrego-Ramos, M., & Blanco, S. (2017). Automated diatom classification (Part A): handcrafted feature approaches. Applied Sciences, 7(8) Article e753. https://doi.org/10.3390/APP7080753
NO This article belongs to the Special Issue Automated Analysis and Identification of Phytoplankton Images
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 20-may-2024