Ant Colony Optimization (ACO) is a Swarm Intelligence technique which inspired from the
foraging behaviour of real ant colonies. The ants deposit pheromone on the ground in order …

Multi-level image thresholding segmentation divides an image into multiple non-overlap**
regions. This paper presents a novel two-dimensional (2D) histogram-based segmentation …

This paper presents a novel histogram thresholding–fuzzy C-means hybrid (HTFCM)
approach that could find different application in pattern recognition as well as in computer …

To improve the diagnosis of Lupus Nephritis (LN), a multilevel LN image segmentation
method is developed in this paper based on an improved slime mould algorithm. The search …

Today, image segmentation methods are widely used for various applications, including
object detection. Multilevel Thresholding Image Segmentation (MTIS) methods are among …

We propose a novel multi-level thresholding method for unsupervised separation between
objects and background from a natural color image using the concept of the minimum cross …

Color-based image segmentation classifies pixels of digital images in numerous groups for
further analysis in computer vision, pattern recognition, image understanding, and image …

Fuzzy-means method (FCM) is a popular clustering method, which uses alternating iteration
algorithm to update membership matrix and center matrix of size. However, original FCM …

In recent years, the acquisition of image and video information for processing, analysis,
understanding, and exploitation of the underlying content in various applications, ranging …

Image segmentation is an active research topic in image processing. The Fuzzy C-means
(FCM) clustering analysis has been widely used in image segmentation. As there is a large …