Texture is an important feature to improve image segmentation. This paper describes a wavelet-based fuzzy clustering procedure which receives as input both the original image and a texture map based on a fractal model, derived from the wavelet transform of the image itself. This preliminary evaluation has shown the potential usefulness of the fractal signature for improving texture discrimination and enhancing segmentation results, and suggests this multi-scale approach for Remote Sensing image texture analysis
Fuzzy clustering of textured SAR images based on a fractal dimension feature / Alparone, L; Barni, M.; Betti, M.; Garzelli, A.. - STAMPA. - 3:(1997), pp. 1184-1186. (Intervento presentato al convegno Proceedings of the 1997 IEEE International Geoscience and Remote Sensing Symposium, IGARSS'97. Part 3 (of 4) tenutosi a Singapore, Singapore nel 3 - 8 August 1997) [10.1109/IGARSS.1997.606391].
Fuzzy clustering of textured SAR images based on a fractal dimension feature
ALPARONE, LUCIANO;
1997
Abstract
Texture is an important feature to improve image segmentation. This paper describes a wavelet-based fuzzy clustering procedure which receives as input both the original image and a texture map based on a fractal model, derived from the wavelet transform of the image itself. This preliminary evaluation has shown the potential usefulness of the fractal signature for improving texture discrimination and enhancing segmentation results, and suggests this multi-scale approach for Remote Sensing image texture analysisI documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.