Search Results for author:
Found 4 papers, 0 papers with code
Morphological 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.
Multivariate mathematical morphology for DCE-MRI image analysis in angiogenesis studies
A full multivariate segmentation method based on dimensionality reduction, noise filtering, supervised classification and stochastic watershed is explained and tested on several data sets.
A New Spatio-Spectral Morphological Segmentation For Multi-Spectral Remote-Sensing Images
Subsequently, a probability density function (pdf) of contours containing spatial and spectral information is estimated by simulation using a stochastic WS approach driven by the spectral classification.
On distances, paths and connections for hyperspectral image segmentation
Then a finer segmentation is obtained by computing $\eta$-bounded regions and $\mu$-geodesic balls inside the $\lambda$-flat zones.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
