Gray Scale Edge Detection using Interval-Valued Fuzzy Relations

Bouchet, Agustina; Quirós, Pelayo; Alonso, Pedro; Ballarin, Virginia Laura; Díaz, Irene; Montes, Susana

info:eu-repo/semantics/article

Fecha

2015-12

Registro en:

Bouchet, Agustina; Quirós, Pelayo; Alonso, Pedro; Ballarin, Virginia Laura; Díaz, Irene; et al.; Gray Scale Edge Detection using Interval-Valued Fuzzy Relations; Atlantis Press; International Journal of Computational Intelligence Systems; 8; 12-2015; 16-27

1875-6883

http://hdl.handle.net/11336/100702

CONICET Digital

CONICET

https://repositorioslatinoamericanos.uchile.cl/handle/2250/4365323

Autor

Bouchet, Agustina

Quirós, Pelayo

Alonso, Pedro

Ballarin, Virginia Laura

Díaz, Irene

Montes, Susana

Institución

Consejo Nacional de Investigaciones Científicas y Tecnológicas (Argentina)

Resumen

Gray scale edge detection can be modeled using Fuzzy Sets and, in particular, Interval-Valued Fuzzy Sets. This work is focused on studying the performance of several Interval-Valued Fuzzy Sets construction methods for detecting edges in a gray scale image. These construction methods are based on considering information related to the neighborhood of each point. Thus, several construction methods are proposed and tested, showing the approach performing better.

Materias

EDGE DETECTION

FUZZY MATHEMATICAL MORPHOLOGY

INTERVAL-VALUED FUZZY SETS

LOWER CONSTRUCTOR

UPPER CONSTRUCTOR

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