Image segmentation is the method of partitioning an image into a group of pixels that are
homogenous in some manner. The homogeneity dependents on some attributes like …

Image segmentation methodology is a part of nearly all computer schemes as a pre-
processing phase to excerpt more meaningful and useful information for analysing the …

Color image segmentation is a fundamental challenge in the field of image analysis and
pattern recognition. In this paper, a novel automated pixel clustering and color image …

In this paper an attempt is made to study the unsupervised learning clustering algorithms
such as K-Means, Agglomerative, and Fuzzy C-means Clustering methods. The Nature …

Clustering is a challenging problem that is commonly used for many applications. It aims at
finding the similarity between data points and grouping similar ones into the same cluster. In …

The presence of artifacts limits the accuracy of detecting skin lesions. The current study
presents an extensive appraisal of the impact of eight existing image-segmentation methods …

EvoCluster is an open source and cross-platform framework implemented in Python which
includes the most well-known and recent nature-inspired metaheuristic optimizers that are …

A vital ingredient of image analysis and vision-based systems is color image segmentation
studies. Because color images contain more information than gray images, they are more …

In the last decade, neutrosophic sets (NS), which are defined as the generalization of
interval fuzzy sets, have become a hot topic in the computer-vision and machine-learning …

This article analyzes the algorithms of computer vision, the features of the application of
augmented reality technology and existing software modules, frameworks and libraries. The …