Classifying image analysis techniques from their output


Autoria(s): Gauda, C.; Gomez, D.; Rodríguez, Juan Tinguaro; Yáñez, Javier; Montero, Javier
Data(s)

2016

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.ucm.es/38173/1/Montero267.pdf

Idioma(s)

en

Publicador

Atlantis Press

Relação

http://eprints.ucm.es/38173/

http://www.tandfonline.com/doi/abs/10.1080/18756891.2016.1180819?journalCode=tcis20

http://dx.doi.org/10.1080/18756891.2016.1180819

TIN2015-66471-P

S2013/ICE-2845

Direitos

info:eu-repo/semantics/restrictedAccess

Palavras-Chave #Lógica simbólica y matemática
Tipo

info:eu-repo/semantics/article

PeerReviewed