RT Book, Section
T1 Unsupervised perceptual model for color image's segmentation
A1 Sobrevilla, P.
A1 Gómez González, Daniel
A1 Montero De Juan, Francisco Javier
A1 Montseny, E.
AB Color Segmentation is a fundamental, step in image understanding. Moreover, for getting accurate color image's segmentation algorithms, human being's perception of color should be considered. In this line we propose an unsupervised segmentation algorithm that is based on a fuzzy graph coloring process for representing the fuzzy color similarity degrees among neighboring pixels from a perceptual point of view. As main goal is to detect and extract the regions explaining the image, we stress the role of coloring procedures for unsupervised segmentation and fuzzy classification by means of useful, comprehensive and simple enough fuzzy graphical representations.
PB IEEE
SN 0-7803-9187-X
YR 2005
FD 2005
LK https://hdl.handle.net/20.500.14352/53166
UL https://hdl.handle.net/20.500.14352/53166
LA eng
NO Sobrevilla, P., Gomez, D., Montero, J., Montseny, E.: Unsupervised Perceptual Model for Color Image’s Segmentation. En: NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society. pp. 349-354. IEEE, Detroit, MI, USA (2005)
NO Annual Meeting of the North-American-Fuzzy-Information-Processing-SocietyJUN 26-28, 2005
NO Comisión Interministerial de Ciencia y Tecnología (España)
DS Docta Complutense
RD 7 abr 2025