Clustering Techniques for Marbles Classification
作者： Vitorino Ramos , Pedro Pina , Mário Ramalho , J. R. Caldas-Pinto
DOI:
关键词: Artificial intelligence 、 Quality (business) 、 Cluster analysis 、 Segmentation 、 Training set 、 Computer science 、 Machine learning
摘要: Automatic marbles classification based on their visual appearance is an important industrial issue. However, there no definitive solution to the problem mainly due presence of randomly distributed high number different colours and its subjective evaluation by human expert. In this paper we present a study segmentation techniques, evaluate they overall performance using training set standard quality measures finally apply clustering techniques automatically classify marbles.
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harvard.edu参考文章(6)
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