A new operator is presented which adopts a fuzzy logic approach for the enhancement of
images corrupted by impulse noise. The proposed operator is based on two-step fuzzy …

A new approach to contrast enhancement of image data is presented. The proposed method
is based on a multiple-output system that adopts fuzzy models in order to prevent the noise …

Fuzzy inference ruled by else-action (FIRE) operators are a class of nonlinear operators
which process image data by using fuzzy reasoning. The latest developments in the field of …

Increased circulating sclerostin and accumulation of advanced glycation end‐products (AGEs)
are two potential mechanisms underlying low bone turnover and increased fracture risk in …

A new approach to the restoration of images corrupted by Gaussian noise is presented. The
proposed method combines a nonlinear algorithm for detail preserving smoothing of noisy …

Low back pain is one of the major health problems in industrialized countries, as a leading
source of disability in the working population. Intervertebral disc degeneration has been …

In March 2019, the World Health Organization (WHO) recognized the COVID-19 pandemic
as a global issue. To reduce the spread of this disease, health safety pathways were …

Low back pain (LBP) in one of the most disabling symptoms affecting nearly 80% of the
population worldwide. Its primary cause seems to be intervertebral disc degeneration (IDD): a …

One of the main goals of diabetic therapy is to achieve the best metabolic control to prevent
the development and progression of potential complications. A multidisciplinary approach …

A new approach to edge detection in images corrupted by impulsive noise is presented. The
proposed method adopts fuzzy reasoning in order to extract edges without being deceived …