This review article provides a comprehensive survey on state-of-the-art impulse and
Gaussian denoising filters applied to images and summarizes the progress that has been …

Fuzzy systems have been used widely thanks to their ability to successfully solve a wide
range of problems in different application fields. However, their replication and application …

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 …

One of the key operations in fuzzy logic and approximate reasoning is the fuzzy implication,
which is usually performed by a binary operator, called an implication function or, simply, an …

Several automated program repair techniques have been proposed to reduce the time and
effort spent in bug-fixing. While these repair tools are designed to be generic such that they …

A new fuzzy filter is presented for the noise reduction of images corrupted with additive
noise. The filter consists of two stages. The first stage computes a fuzzy derivative for eight …

Removing or reducing impulse noise is a very active research area in image processing. In
this paper we describe a new algorithm that is especially developed for reducing all kinds of …

Thresholding is a direct and simple approach to extract different regions from an image. In its
basic formulation, thresholding searches for a global value that maximizes the separation …

Diabetic retinopathy is the most common diabetic eye disease and a leading cause of
blindness in the world. Diagnosis of diabetic retinopathy at an early stage can be done …

Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image
Processing is a comprehensive and reliable resource which now provides explanations of …