Clustering Techniques for Marbles Classification
<|reference_start|>Clustering Techniques for Marbles Classification: Automatic marbles classification based on their visual appearance is an important industrial issue. However, there is no definitive solution to the problem mainly due to the presence of randomly distributed high number of different colours and its subjective evaluation by the human expert. In this paper we present a study of segmentation techniques, we evaluate they overall performance using a training set and standard quality measures and finally we apply different clustering techniques to automatically classify the marbles. KEYWORDS: Segmentation, Clustering, Quadtrees, Learning Vector Quantization (LVQ), Simulated Annealing (SA).<|reference_end|>
@article{caldas-pinto2004clustering,
    title={Clustering Techniques for Marbles Classification},
    author={J.R. Caldas-Pinto, Pedro Pina, Vitorino Ramos, Mario Ramalho},
    journal={RecPad 2002 -12th Portuguese Conference on Pattern Recognition,
  ISBN 972-789-067-9, Aveiro, Portugal, June 27-28, 2002},
    year={2004},
    archivePrefix={arXiv},
    eprint={cs/0412076},
    primaryClass={cs.AI cs.CV}
}