Paper Details: Downloads: 322
Serial Number: P1150444002
Title: SIGT: Synthetic image generation tool for clustering algorithms
Authors: Ayed Salman and Mahamed G Omran and Andries P Engelbrecht
Abstract: A new automatic image generation tool is proposed in this paper tailored specifically for verification and comparison of different image clustering algorithms. The tool can be used to produce different images (in raw format) with different criteria based on user specification. The user specifies the number of clusters to be included in the image along with the probability distribution that governs a set of points that belong to different clusters. On the other hand, the tool can be used to verify the degree of approximation a new algorithm has been able to achieve compared to the original image. This allows for a scientific confident comparison between any new algorithm and existing algorithms. The tool usefulness is demonstrated in this paper with reference to the well-known K-means clustering algorithm and a Particle Swarm Optimization (PSO)-based clustering algorithm recently proposed by the authors.
Keywords: image clustering algorithms, K-means clustering algorithm, Particle Swarm Optimization (PSO).
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 5
Issue: 2
Submission Date: 10/1/2004 12:00:00 AM
Review Date: 11/1/2004 12:00:00 AM
Publishing Date: 1/1/2005 12:00:00 AM
Article Downloads: 322
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