RT Journal Article
T1 Classifying image analysis techniques from their output
A1 Gauda, Carely
A1 Gómez González, Daniel
A1 Rodríguez González, Juan Tinguaro
A1 Yáñez Gestoso, Francisco Javier
A1 Montero De Juan, Francisco Javier
AB 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.
PB Atlantis Press
SN 1875-6883
YR 2016
FD 2016
LK https://hdl.handle.net/20.500.14352/24537
UL https://hdl.handle.net/20.500.14352/24537
LA eng
NO Guada, C., Gómez, D., Rodríguez, Jt., Yáñez, J., Montero, J.: Classifying image analysis techniques from their output: IJCIS. 9, 43 (2016). https://doi.org/10.1080/18756891.2016.1180819
NO Special Issue:   A Humble Tribute to 50 Years of Fuzzy Sets, guested edited by Luis Martínez and Jie Lu
NO Ministerio de Ciencia, Innovación y Universidades (España)
NO Comunidad de Madrid
DS Docta Complutense
RD 7 abr 2025