Many image segmentation techniques are available in the literature. Some of these
techniques use only the gray level histogram, some use spatial details while others use …

Compared with radar and visible light imaging, infrared imaging has its own unique
advantages, and in recent years, it has become a topic of intense research interest. Robust …

Lung cancer is the primary reason of cancer deaths worldwide, and the percentage of death
rate is increasing step by step. There are chances of recovering from lung cancer by …

Abstract Vision Transformers (ViTs) have demonstrated powerful representation ability in
various visual tasks thanks to their intrinsic data-hungry nature. However, we unexpectedly …

This paper presents a novel intuitionistic fuzzy C means clustering method using
intuitionistic fuzzy set theory. The intuitionistic fuzzy set theory considers another uncertainty …

This paper presents a new method for similarity measures between intuitionistic fuzzy sets
(IFSs). We will present a method to calculate the distance between IFSs on the basis of the …

This book gives a comprehensive account of density-based minimum distance methods and
their use in statistical inference. It covers statistical distances, density-based minimum …

We propose an effective small-target detection approach based on weighted image entropy.
The approach weights the local entropy measure by the multiscale grayscale difference …

Provides a self-contained description of this important aspect of information processing and
decision support technology. Presents basic definitions, principles, applications, and a …

Cluster validity indexes have been used to evaluate the fitness of partitions produced by
clustering algorithms. This paper presents a new validity index for fuzzy clustering called a …