Aprendizaje automatizado basado en transformadas wavelet para la segmentación de hojas en imágenes infrarrojas
- Pérez Sanz, Fernando
- Navarro Lorente, Pedro Javier
- Egea Gutiérrez-Cortines, Marcos
- Weiss, Julia Rosl
- Francisco Artés Hernández
- Juan Antonio Fernández-Hernández
- José Enrique Cos Terrer
- Juan José Alarcón Cabañero
- Marcos Egea Gutiérrez-Cortines
- Encarna Aguayo Giménez
Publisher: Universidad Politécnica de Cartagena
ISBN: 978-84-16325-89-4
Year of publication: 2019
Pages: 109-112
Congress: Workshop on Agri-Food Research for young researchers (7. 2018. Cartagena)
Type: Conference paper
Abstract
In this work we present an algorithm to segment leaves in NIR images captured inside a growth chamber. The proposed method uses a features vector composed by four elements extracted from different levels of wavelets transform. We have tested three classifiers: k-nearest neighbour (kNN), Naive Bayes classifier (NBC) and Support Vector Machine to determine the optimal machine learning ...