A sequential ECHO algorithm based on the integration of clustering and region growing techniques

Autor:	Elena Navarro, G. Cisneros, J. Garcia-Consuegra
Rok vydání:	2002
Předmět:	Contextual image classification Region growing business.industry Computer science Feature extraction Segmentation Pattern recognition Image processing Artificial intelligence Image segmentation Cluster analysis business Sequential algorithm
Zdroj:	IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).
DOI:	10.1109/igarss.2000.861659
Popis:	This paper deals with the seed-pixel determination process in the object extraction step when a per-object based classifier is used. A sequential algorithm (EHO-IRGI, Extraction of Homogeneous Objects through the ISOTADA and Region Growing Integration), which integrates the clustering and region growing techniques in order to compensate the biased segmentation process in a sequential region growing, is proposed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f7cf325e7d7171de176c6279047a92aa https://doi.org/10.1109/igarss.2000.861659 Zobrazit plný text záznamu