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 …

In the development of digital multimedia, the importance and impact of image processing
and mathematical morphology are well documented in areas ranging from automated vision …

In the field of computational fluid dynamics, many applications of practical interest require
the use of robust discretization techniques equipped with adaptive control mechanisms for …

The generalization of mathematical morphology to multivariate vector spaces is addressed
in this paper. The proposed approach is fully unsupervised and consists in learning a …

Mathematical morphology is a very popular framework for processing binary or grayscale
images. One of the key problems in applying this framework to color images is the notorious …

An exceptional 3D wide-sense Markov model which can be completely solved analytically
and easily synthesized is presented. The model can be modified to faithfully represent …

Mathematical Morphology (MM) offers a wide range of operators to address various image
processing problems. These processing can be defined in terms of algebraic set or as partial …

Coherence-enhancing diffusion filtering is a striking application of the structure tensor
concept in image processing. The technique deals with the problem of completion of …

Diffusion tensor magnetic resonance imaging, is a image acquisition method, that provides
matrix-valued data, so-called matrix fields. Hence image processing tools for the filtering and …

This work presents a contrast enhancement operator based on a fuzzy-numerical
description of images at the pixel level; this operator is further used to construct a scale …