Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/132433
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Classifying image analysis techniques from their output |
Autor: | Guada, Carely; Gómez, Daniel; Tinguaro Rodríguez, J.; Yáñez, Javier; Montero, Javier CSIC ORCID | Palabras clave: | Image segmentation Image classification Edge detection Fuzzy sets Machine learning Graphs |
Fecha de publicación: | 26-abr-2016 | Editor: | Taylor & Francis | Citación: | International Journal of Computational Intelligence Systems, 9 (Supplement 1): 43-68 (2016) | Resumen: | In this paper we discuss some main image processing techniques in order to propose a classification based upon the output these methods provide. Because despite a particular image analysis technique can be supervised or unsupervised, and can allow or not the existence of fuzzy information at some stage, each technique has been usually designed to focus on a specific objective, and their outputs are in fact different according to each objective. Thus, they are in fact different methods. But due to the essential relationship between them they are quite often confused. In particular, this paper pursues a clarification of the differences between image segmentation and edge detection, among other image processing techniques. | Versión del editor: | http://dx.doi.org/10.1080/18756891.2016.1180819 | URI: | http://hdl.handle.net/10261/132433 | DOI: | 10.1080/18756891.2016.1180819 | ISSN: | 1875-6891 | E-ISSN: | 1875-6883 |
Aparece en las colecciones: | (IGEO) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
IJCIS_2016_9_S1_43.pdf | 1,05 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
24
checked on 29-mar-2024
WEB OF SCIENCETM
Citations
22
checked on 26-feb-2024
Page view(s)
238
checked on 29-mar-2024
Download(s)
1.380
checked on 29-mar-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.