Image feature extraction using OD-monotone functions
Fecha
2018Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Contribución a congreso / Biltzarrerako ekarpena
Versión
Versión aceptada / Onetsi den bertsioa
Identificador del proyecto
ES/1PE/TIN2016-77356-P
Impacto
|
10.1007/978-3-319-91473-2_23
Resumen
Edge detection is a basic technique used as a preliminary step
for, e.g., object extraction and recognition in image processing. Many of
the methods for edge detection can be fit in the breakdown structure by
Bezdek, in which one of the key parts is feature extraction. This work
presents a method to extract edge features from a grayscale image using
the so-called ordered directionally monoto ...
[++]
Edge detection is a basic technique used as a preliminary step
for, e.g., object extraction and recognition in image processing. Many of
the methods for edge detection can be fit in the breakdown structure by
Bezdek, in which one of the key parts is feature extraction. This work
presents a method to extract edge features from a grayscale image using
the so-called ordered directionally monotone functions. For this purpose
we introduce some concepts about directional monotonicity and present
two construction methods for feature extraction operators. The proposed
technique is competitive with the existing methods in the literature.
Furthermore, if we combine the features obtained by different methods
using penalty functions, the results are equal or better results than stateof-the-art methods. [--]
Materias
Edge detection,
Feature extraction,
Ordered directionally monotone functions,
Penalty functions
Editor
Springer
Publicado en
Medina J. et al. (eds): Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 853. Springer, Cham
Departamento
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Versión del editor
Entidades Financiadoras
This work is supported by the Spanish Ministry of Science (Project TIN2016-77356-P) and the Research Services of Universidad Publica de Navarra.