The successful application of univariate morphological operators on several domains, along
with the increasing need for processing the plethora of available multivalued images, have …

To improve the performance of top-hat transformation for infrared dim small target detection
in a simple and effective way, the definition, properties, multi-scale operations of new top-hat …

Object detection, tracking and recognition in images are key problems in computer vision.
This book provides the reader with a balanced treatment between the theory and practice of …

This paper deals with weighted G-Drazin inverses, which is a new class of matrices
introduced to extend (to the rectangular case) G-Drazin inverses recently considered by …

In this article, a new method to process color images via mathematical morphology is
presented. Precisely, each pixel of an image contained in the rgb-space is converted into a …

Mathematical morphology is a very successful branch of image processing with a history of
more than four decades. Its fundamental operations are dilation and erosion, which are …

We compute lower bounds on the mean-square error of multiple change-point estimation. In
this context, the parameters are discrete and the Cramér-Rao bound is not applicable …

We present a new numerical abstract domain based on ellipsoids designed for the formal
verification of switched linear systems. Unlike the existing approaches, this domain does not …

This paper proposed an improved decomposition approach for structuring elements of
arbitrary shape. For the model of this method, we use the recursive model which …

In this article we consider adaptive, PDE-driven morphological operations for 3D matrix
fields arising eg in diffusion tensor magnetic resonance imaging (DT-MRI). The anisotropic …