Abstract
One approach to image categorization is the use of clustering algorithms to sets of images represented by various image descriptors. We propose the use of an automatic clustering algorithm to categorize an image-set represented by color moments. Using this clustering algorithm based on hierarchical clustering, this approach produced adequate results with only minimal user input when applied to a restricted image-set.
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Acknowledgements
We gratefully acknowledge the support from NBIF’s (RAI 2012-047) New Brunswick Innovation Funding granted to Dr. Nabil Belacel.
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LaPlante, F., Kardouchi, M., Belacel, N. (2015). Image Categorization Using a Heuristic Automatic Clustering Method Based on Hierarchical Clustering. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2015. Lecture Notes in Computer Science(), vol 9164. Springer, Cham. https://doi.org/10.1007/978-3-319-20801-5_16
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DOI: https://doi.org/10.1007/978-3-319-20801-5_16
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