Inspection of plant pathologies through pseudocolored images based on polarimetric basis

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Title: Inspection of plant pathologies through pseudocolored images based on polarimetric basis
Authors: Canabal-Carbia, Mónica | Sánchez-Montes, Adriana R. | Rodríguez, Carla | Estévez, Irene | Luque, Jordi | Garnatje, Teresa | Campos, Juan | Lizana Tutusaus, Ángel
Research Group/s: Holografía y Procesado Óptico
Center, Department or Service: Universidad de Alicante. Instituto Universitario de Física Aplicada a las Ciencias y las Tecnologías | Universitat Autònoma de Barcelona. Departament de Física | Institute of Agrifood Research and Technology (IRTA) | Botanical Institute of Barcelona (IBB, CISC-ICUB)
Keywords: Polarimetric analysis | Biological tissue | Imaging techniques | Depolarization
Knowledge Area: Óptica
Date Created: 28-Jun-2023
Issue Date: 18-Oct-2023
Publisher: EDP Sciences
Citation: M. Canabal-Carbia, A.R. Sánchez-Montes, C. Rodríguez, I. Estévez, J. Luque, T. Garnatje, J. Campos, and A. Lizana, "Inspection of plant pathologies through pseudocolored images based on polarimetric basis", 11th EOSAM, 11-15 September 2023, Dijon, France. EPJ Web Conferences 287, 03004 (2023). https://doi.org/10.1051/epjconf/202328703004
Abstract: The study of the interaction of biological tissue with polarized light leads to relevant information of physical properties (dichroism, retardance and depolarization) of samples. Polarimetric analysis of different characteristics in tissues is useful for applications such us tissue classification, contrast enhancement or pathology detection. By means of polarimetric imaging techniques we can characterize the polarimetric signature of biological samples in a noninvasive and nondestructive way. We have found that depolarization information is of special interest in turbid media such as plant tissue. In this manuscript we use polarimetric observables for plant inspection. In particular, we provide enhanced visualization of certain plant pathologies by constructing depolarization based pseudocolored images of pathological leaves where the pathological areas are revealed.
URI: http://hdl.handle.net/10045/139685
ISSN: 2100-014X
DOI: 10.1051/epjconf/202328703004
Language: eng
Type: info:eu-repo/semantics/conferenceObject
Rights: © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/).
Peer Review: si
Publisher version: https://doi.org/10.1051/epjconf/202328703004
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