Electrocardiogram (ECG) is the most vital biosignal of the body. It contains a variety of
important clinical pieces of information and it is the fastest approach to asses the health …

This paper proposes a computational modeling for image filtering processes based on the
Cartesian Genetic Programming (CGP) methodology, suitable for hardware devices. A …

This paper reviews 80 out of 130 bio-inspired Algorithm (BIAs) researches published in
google scholar and IEEExplore between the periods of 1995 to 2010 used to solve image …

The manual selection of linear and nonlinear operators for producing image filters is not a
trivial task in practice, so new proposals that can automatically improve and speed up the …

Abstract Navigation systems for Visually Impaired People (VIP) have improved in the last
decade, incorporating many features to ensure navigation safety. Such systems often use …

Image Enhancement is one of the basic requirements for making an image useful for various
statistical analysis and particle identification that form the basis of various tests and …

In binary image segmentation, the choice of the order of the operation sequence may yield
to suboptimal results. In this work, we propose to tackle the associated optimization problem …

Mathematical Morphology (MM) is a set-theoretic technique for the analysis of geometrical
structures. It provides a powerful tool for image processing, but is hampered by significant …

Non Uniform Illumination in an image often leads to diminished structures and
inhomogeneous intensities due to different texture of the object surface and shadows cast …

This paper presents a reconfigurable 2D parallel architecture designed to implement
efficiently two fundamental gray scale morphological operations: dilation and erosion. The …