RT Book, Section
T1 Painting algorithms for fuzzy classification
A1 Gómez González, Daniel
A1 Montero De Juan, Francisco Javier
A1 Yáñez Gestoso, Francisco Javier
A1 Poidomani, Carmelo
A2 Piscataway, N. J.
AB Absfruct-Land cover analysis by means of remotely sensing images quite often suggest the existence of fuzzy classes, where no clear borders or particular shapes appear. In this paper we present an image classification aid algorithm which shows as its main output a processed image where each pixel is being colored according to the degree of similitude to their respective surrounding pixels. Such a processed image is therefore suggesting possible classes, to be implemented in a more sophisticated image classification process.  A key underlying argument for this approach is the relevance of painting techniques in order to help decision makers to understand complex information relative to fuzzy image classification.
PB IEEE
SN 0-7803-8353-2
YR 2004
FD 2004
LK https://hdl.handle.net/20.500.14352/53410
UL https://hdl.handle.net/20.500.14352/53410
LA eng
NO Gomez, D., Montero, J., Yanez, J., Poidomani, C.: Painting algorithms for fuzzy classification. En: 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542). pp. 127-132. IEEE, Budapest, Hungary (2004)
DS Docta Complutense
RD 18 abr 2025