This paper presents a review of the current literature on rough-set-and near-set-based
approaches to solving various problems in medical imaging such as medical image …

This handbook offers a fresh approach to computer vision. The whole vision process from
image formation to measuring, recognition, or reacting is regarded as an integral process …

The effectiveness of the theory of fuzzy sets in detecting different regional boundaries of X-
ray images is demonstrated. The algorithm includes a prior enhancement of the contrast …

The authors give an overview of the fuzzy set theoretic approach to computer vision. They
discuss the applications of fuzzy set theory in computer vision in the areas of image …

In this article, we have developed an improved failure mode and effect analysis (FMEA)
model by leveraging the concepts of Z-number, rough number (RN), and probabilistic …

In den letzten Jahren hat die Fuzzy-Logik auch im Bereich der Mustererkennung Einzug
gehalten. Das Buch befaßt sich mit dem Einsatz von Fuzzy-Methoden in der digitalen …

The various aspects of image processing and analysis problems where the theory of fuzzy
set has so far been applied are addressed along with their relevance and applications. The …

The work presented in this paper concerns the development of computer-based techniques
for the segmentation of hand-wrist radiographs and in particular those obtained for the TW2 …

The main purpose of this paper is to compare clustering (region growing) and gradient
based techniques for detecting regions of interest in digital mammograms. Such regions of …

Image processing and analysis in fuzzy set theoretic framework is addressed. Various
uncertainties involved in these problems and the relevance of fuzzy set theory in handling …