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CIRG - Research  -  Image Analysis 



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OVERVIEW

Research done in this focus area includes new approaches for image clustering, and investigations into how computational intelligence techniques can be used to analyze and understand the content of images and video streams. This research focus area also develops image recognition and tracking systems, with the first application being to the design of a virtual mixer for music.

ACTIVE MEMBERS

List the current members actively doing research in this focus area. [ Show ]

ALUMNI MEMBERS

A Hauptfleish

M.Sc Completed in 2010

J Pun

M.Sc Completed

H Grobler

M.Sc Completed in 2005
Hons-B.Sc Completed in 2004

M Omran

PhD Completed in 2005

GROUP PUBLICATIONS

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MEMBER PROFILE



 Name:

 Mohammed Omran

Portrait photo

 E-mail:

 mjomran@yahoo.com

 Group(s):

 Swarm Intelligence
 Image Analysis

 

 Degree specific information: PhD

 Title:

 Image Clustering using Particle Swarm Optimization

 Abstract:

Because of its simplicity and efficieny in navigating large search spaces for optimal solutions, particle swarm optimizers (PSOs) are used in this research to develop efficient, robust and flexible unsupervised image clustering algorithms. Both hard (crisp) and fuzzy clustering are being studied and comparison with the well known image clustering techniques is being conducted. Furthermore, a PSO algorithm which dynamically determine the number of clusters in the image set (i.e., fully unsupervised image clustering) will be developed. The influence of the number of particles, number of iterations, and other PSO parameters on the performance of the PSO will be explored.

 Supervisor / Co-Supervisor:

 AP Engelbrecht
 Prof A Salman (Kuwait)

 Thesis:

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