Particle swarm optimization (PSO) is recent approach that can be employed in a wide range
of applications. It is an evolutionary computing method based on colony aptitude which is a …

In this paper, a complete and fully automatic MRI brain tumour detection and segmentation
methodology is presented as an efficient clinical-aided tool using Gaussian mixture model …

Unit commitment (UC) problem with ramp rate, for large number of units is a highly nonlinear
optimization problem with huge number of constraints. This paper presents a new hybrid …

A method of progressive transmission of Magnetic Resonance Image with lesions over long
distances is proposed. The Magnetic Resonance Images at the transmitter end are …

Change detection is a process of identifying the changes in a state of an object over time.
We use the phenomena of change detection to detect the changes occurring in MRI of brain …

This article represents performance of segmentation algorithm of an unsupervised image
based on hidden Markov random field (HMRF) model and random walk segmentation …

Hybrid Particle Swarm Optimization with Wavelet Mutation (HPSOWM), Krill Herd & Spider
Monkey optimization algorithms are recent algorithms proposed for numerical optimization …

Medical image analysis is a very challenging research field, encompassing the areas of
image registration, image segmentation, detection of abnormal tissue or tumors, and many …

Entropy is the measure of randomness in a system whereas the entropy maximization
procedure leads to the most probable state of a system behaviour. Entropy maximization …

The research was conducted with the main purpose of develo** a proposed algorithm;
Charlotte Ama Mensah Segmentation Algorithm (CAMSEG) that combines K-Means and …