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Applying Swarm Algorithms on Unsupervised Color Image Classification | ||
| Journal of University of Babylon | ||
| Article 1, Volume 23, Issue 2, 2015, Pages 533-538 | ||
| Authors | ||
| Khalid Mohammed Saffer; Samahir Khalil Ismail | ||
| Abstract | ||
| Clustering algorithms are used as a solution for different image problem, such as pre-processing, segmentation, feature extraction, dimensionality reduction, data visualization, and final classification. The one that proposed in this paper is the classification, so this work takes two clustering algorithm (k-mean & pso) then applying it on an unsupervised color images (satellite image, medicine image, natural image). | ||
| Keywords | ||
| Particle swarm optimization; mean; Unsupervised Image; Compactness; Image classification | ||
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