Connected operators are morphological tools that have the property of filtering images
without creating new contours and without moving the contours that are preserved. Those …

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 …

The theory of hierarchical image representations has been well-established in Mathematical
Morphology, and provides a suitable framework to handle images through objects or regions …

Satellite imagery is a valuable source of information for assessing damages in distressed
areas undergoing a calamity, such as an earthquake or an armed conflict. However, the …

Abstract Higra—Hierarchical Graph Analysis is a C++/Python library for efficient sparse
graph analysis with a special focus on hierarchical methods capable of handling large …

The topographic map of a gray-level image, also called tree of shapes, provides a high-level
hierarchical representation of the image contents. This representation, invariant to contrast …

Morphological attribute profiles are multilevel decompositions of images obtained with a
sequence of transformations performed by connected operators. They have been …

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Each year, multiple catastrophic events impact vulnerable populations around the planet.
Assessing the damage caused by these events in a timely and accurate manner is crucial for …

Morphological hierarchies constitute a rich and powerful family of graph-based structures
that can be used for image modeling, processing and analysis. In this article, we focus on an …