By concentrating on the analysis of the spatial relationships between groups of pixels,
mathematical morphology provides us with an image processing strategy complementary to …

This paper introduces an image partitioning and simplification method based on the
constrained connectivity paradigm. According to this paradigm, two pixels are said to be …

Impulsive-type periodic signals characterise the vibration response of machines subjected to
frequent defects or wear of typical machine parts, like bearings or gears. Processing of the …

The goals of image enhancement include the improvement of the visibility and perceptibility
of the various regions into which an image can be partitioned and of the detectability of the …

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

The Depth-Image-Based-Rendering (DIBR) algorithms used for 3D video applications
introduce geometric distortions affecting the edge coherency in the synthesized images. In …

After a formal definition of segmentation as the largest partition of the space according to a
criterion σ and a function f, the notion of a morphological connection is reminded. It is used …

Deep learning architectures have received much attention in recent years demonstrating
state-of-the-art performance in several segmentation, classification and other computer …

Low-frequency noise is one of the most common types of noise in seismic and microseismic
data. Conventional approaches, such as the high-pass filtering method, utilize the low …

This paper introduces a multi-temporal image processing framework towards an efficient
and (semi-) automated detection of urban changes. Nonlinear scale space filtering was …