Inspection of plant pathologies through pseudocolored images based on polarimetric basis
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http://hdl.handle.net/10045/139685
Title: | Inspection of plant pathologies through pseudocolored images based on polarimetric basis |
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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 |
Appears in Collections: | INV - GHPO - Comunicaciones a Congresos, Conferencias, etc. |
Files in This Item:
File | Description | Size | Format | |
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epjconf-eosam2023-03004.pdf | 3,41 MB | Adobe PDF | Open Preview | |
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