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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

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ALUMNI MEMBERS

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GROUP PUBLICATIONS


Image Classification using Particle Swarm Optimization
Omran, M. Salman, A. Engelbrecht, AP. 2002.
4th Asia-Pacific Conference on Simulated Evolution and Learning

Download this publication from the Swarm Intelligence and Image Analysis groups.

Abstract:

A new image classification algorithm that is based on the particle swarm optimizer (PSO) is proposed in this paper. The algorithm finds the centroids of a user specified number of clusters, where each cluster groups together similar pixels. The new image classifier has been applied successfully to three types of images to illustrate its wide applicability. These images include synthesized, MRI and satellite images. The proposed algorithm is compared with the benchmark classification algorithm, ISODATA, yielding promising results.

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