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

Mathematical Morphology allows for the analysis and processing of geometrical structures
using techniques based on the fields of set theory, lattice theory, topology, and random …

This work describes sequences of extended morphological transformations for filtering and
classification of high-dimensional remotely sensed hyperspectral datasets. The proposed …

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

Mathematical morphology is a theory of image transformations and image functionals which
is based on set-theoretical, geometrical, and topological concepts. The methodology is …

We present an automatic image processing algorithm to detect hard exudates. Automatic
detection of hard exudates from retinal images is an important problem since hard exudates …

In recent years, scholars have completed many studies on the fault diagnosis of air-
conditioning systems based on Building Energy Management System (BEMS) data, but …

Das Lehrbuch stellt den interdisziplinären Bereich Medizinische Bildverarbeitung erstmals
zusammenfassend, systematisch und vollständig dar. Es ist von erfahrenen Autoren aus der …

This paper presents a new approach to the analysis of hyperspectral images, a new class of
image data that is mainly used in remote sensing applications. The method is based on the …

The extension of mathematical morphology operators to multi-valued functions, and in
particular to colour images, is neither direct nor general. In this paper, a generalisation of …