IMAGE ANALYSIS FOR NANO-STRUCTURES OF BIO-POLYMERS
The principal objective of this research is to investigate whether there is a correlation between the features of the images taken by an electron microscope, the production conditions of the bio-polymers, and their macroscopic properties.
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Example of an image taken with a electron microscope that shows a flake of bio-polymers or nanotubes. We processs such an image through different steps in order to equalize its background, to reduce its noice, to binarize the gray scales into black&white, and eventually to compute its skeleton. |
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Example of a skeleton image of a bio-polymer. Such an image is further processed in order to find its connected components and to calculate certain features such as length or width distributions. |
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Example of the width distribution of the nanotubes of the main component in the image as shown above. |
As a side effect within this research, we have developed a general improvement for iterative and parallelizable thinning algorithms. We call the new method guided thinning and the skeletons obtained with the modification are much better centralized within the shapes. The results that we achieve when the method is incorporated into standard iterative thinning algorithms are shown in this image gallery. The corresponding research article is currently under peer review.
Financed Projects
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Title: DAEIRA: Dynamic Applications for Expert Information Recognition and Analysis
Start Date: 01/10/2020
End Date: 30/06/2021
Budget: 20000 €
Leaders: Arno Formella
Funding Bodies: Universidade de Vigo -
Title: Consolidación e estruturación de unidades de investigación competitivas
Start Date: 01/01/2017
End Date: 30/11/2019
Budget: 90000 €
Leaders: Arno Formella
Funding Bodies: Xunta de Galicia [ED431B 2017/86] -
Title: DAEIRA: Dynamic Applications for Expert Image Recognition and Analysis
Start Date: 01/01/2016
End Date: 31/12/2016
Budget: 15000 €
Leaders: Arno Formella
Funding Bodies: Universidade de Vigo [15VI016] -
Title: FAETÓN: Ferramenta para o análisis das estructuras de nanotubos mediante visión por computador
Start Date: 15/07/2015
End Date: 13/11/2015
Budget: 4000 €
Leaders: Pilar Carrión Pardo
Funding Bodies: Universidade de Vigo [INOU15], Excma. Deputación Provincial de Ourense
Publications
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Title: Guided Thinning
Year: 2019
Journal: Pattern Recognition Letters
Editorial: Elsevier [10.1016/j.patrec.2019.08.030]
Issn: 0167-8655
Impact factor: 2.810 (Q2)
Base: JCR (2019)
Type: Journal Articles
Authors: Santiago Iglesias Cofán, Arno Formella
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Title: Faetón: ferramenta para a análisis das estruturas de nanotubos mediante técnicas de visión por computador
Year: 2016
Editorial: Universidade De Vigo
Isbn: 978-84-8158-717-3
Pages: 53 - 67
Type: Book Chapters
Authors: Arno Formella, Encarnación González Rufino, Santiago Iglesias Cofán, Pilar Carrión Pardo, Alma Gómez Rodríguez
People Involved
- Carrión Pardo, Pilar
- Formella, Arno
- González Rufino, Encarnación
- Gómez Rodríguez, Alma
- Iglesias Cofán, Santiago
- Meilán Maldonado, José Miguel
- Rodríguez Lorenzo, Yago Antonio
- Sánchez Blanco, Melania
Student Work
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Title: Mejora de algoritmos de adelgazamiento para imágenes binarias
Year: 2017
Type: Master's Thesis
Authors: Santiago Iglesias Cofán
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Title: Aplicación de filtros morfolóxicos na detección de nanotubos en imaxes
Year: 2016
Type: Bachelor's Thesis
Authors: Melania Sánchez Blanco
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Title: Software para o recoñecemento de características de nanotubos
Year: 2015
Type: Bachelor's Thesis
Authors: Santiago Iglesias Cofán
Press Articles
- (05/12/2016)De la bioinformática a la simulación aeroespacial
- (16/12/2015)O grupo LIA2 deseña un software para a caracterización de nanotubos
- (11/12/2015)Un sistema de análises xenéticas e un xogo para Android gañan o Concurso de Proxectos Tecnolóxicos
- (11/12/2015)Una "app" para zurdos y un sistema de análisis genético vencen en el concurso de proyectos
Partners
