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 …

Existing infrared small-target detection methods tend to perform unsatisfactorily when
encountering complex scenes, mainly due to the following: 1) the infrared image itself has a …

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 …

Infrared small-target detection under heterogeneous background, as a challenging task,
plays an important role in many applications. In practice, there are not only bright targets but …

Connected operators are filtering tools that act by merging elementary regions called flat
zones. Connecting operators cannot create new contours nor modify their position …

To compute the morphological self-dual representation of images, namely the tree of
shapes, the state-of-the-art algorithms do not have a satisfactory time complexity …

The Max-Tree designed for morphological attribute filtering in image processing, is a data
structure in which the nodes represent connected components for all threshold levels in a …

Morphological attribute filters have not previously been parallelized, mainly because they
are both global and non-separable. We propose a parallel algorithm which achieves …

This paper discusses an image processing architecture and tools to address the problem of
ship detection in synthetic-aperture radar images. The detection strategy relies on a tree …

This paper introduces a topological approach to local invariant feature detection motivated
by Morse theory. We use the critical points of the graph of the intensity image, revealing …