In recent years, airborne and spaceborne hyperspectral imaging systems have advanced in
terms of spectral and spatial resolution, which makes the data sets they produce a valuable …

Context. Low surface brightness (LSB) dwarf galaxies in galaxy clusters are an interesting
group of objects as their contribution to the galaxy luminosity function and their evolutionary …

Deep learning (DL) based semantic segmentation methods have achieved excellent
performance in biomedical image segmentation, producing high quality probability maps to …

The ability to edit an image using intuitive commands and primitives is a desired feature for
any image editing software. In this paper, we combine recent results in medial axes with the …

In Mathematical Morphology, the max-tree is a region-based representation that encodes
the inclusion relationship of the threshold sets of an image. This tree has proved useful in …

The divertor of WEST (W Environment in Steady-state Tokamak) is the main component for
plasma control and exhaust. It receives high heat fluxes, which can cause damage to …

A component tree is a graph representation that encodes the connected components of the
upper or lower level sets of a grayscale image. Consequently, the nodes of a component …

Since the technology of remote sensing has been improved recently, the spatial resolution of
satellite images is getting finer. This enables us to precisely analyze the small complex …

Morphological hierarchies now form a well-established framework for (still) image modeling
and processing. However, their extension to time-related data remains largely unexplored …

Image interpolation is required in several biomedical applications, such as estimating
missing information, simulating a continuously evolving process or for comparative analysis …