Mutation testing is a technique for unit-testing software that, although powerful, is
computationally expensive. The principal expense of mutation is that many variants of the …

Morphological image operators are a class of non-linear image mappings studied in
Mathematical Morphology. Many significant theoretical results regarding the characterization …

Several efficient algorithms for computing erosions and openings have been proposed
recently. They improve on van Herk's algorithm in terms of number of comparisons for large …

Representation of set operators by artificial neural networks and design of such operators by
inference of network parameters is a popular technique in binary image analysis. We …

We introduce a fast Branch-and-Bound algorithm for optimal feature selection based on a U-
curve assumption for the cost function. The U-curve assumption, which is based on the …

An important aspect of mathematical morphology is the description of complete lattice
operators by a formal language, the Morphological Language (ML), whose vocabulary is …

This book addresses digital document enhancement and restoration in these settings.
Topics covered include the language and working definitions of the field, current industry …

A classical approach to designing binary image operators is Mathematical Morphology
(MM). We propose the Discrete Morphological Neural Networks (DMNN) for binary image …

The design of binary morphological operators that are translation-invariant and locally
defined by a finite neighborhood window corresponds to the problem of designing Boolean …

This paper presents the formulation of a combinatorial optimization problem with the
following characteristics:(i) the search space is the power set of a finite set structured as a …