53 KB791 KB29 KB200020242007Angulo, JesúsJeulin, DominiqueNoyel, Guillaumeletnik:26številka:39 stranistr. 101-109ISSN:1580-3139COBISSID:24107993URN:URN:NBN:SI:doc-D56I7DF8enDruštvo za stereologijo in kvantitativno analizo slike, Medicinska fakultetaImage analysis and stereologyanalizaBarvabarveColorFactor Analysis, StatisticalFaktorska analiza statističnaImage Processing, Computer-Assistedmatematična morfologijaMultivariate AnalysisMultivariatna analizaSlika, obdelava z računalnikomspektralna analizastatistična analizaMorphological segmentation of hyperspectral images|The present paper develops a general methodology for the morphological segmentation of hyperspectral images, i.e., with an important number of channels. This approach, based on watershed, is composed of a spectral classification to obtain the markers and a vectorial gradient which gives the spatial information. Several alternative gradients are adapted to the different hyperspectral functions. Data reduction is performed either by Factor Analysis or by model fitting. Image segmentation is done on different spaces: factor space, parameters space, etc. On all these spaces the spatial/spectral segmentation approach is applied, leading to relevant resultson the imageTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaDruštvo za stereologijo in kvantitativno analizo slike