A new contiguity-constrained agglomerative hierarchical clustering algorithm for image segmentation

Authors:
Eduardo R. Concepción Morales;Yosu Yurramendi Mendizabal
Affiliations:
University of Cienfuegos, Faculty of Informatics, Cuatro Caminos, Cienfuegos, Cuba;University of the Basque Country, EHU, Department of Computer Science and Artificial Intelligence, Donostia-San Sebastian, Spain
Venue:
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
Year:
2009

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Abstract

This paper introduces a new constrained hierarchical agglomerative algorithm with an aggregation index which uses neighbouring relations present in the data. Experiments show the behaviour of the proposed contiguity-constrained agglomerative hierarchical algorithm in the case of medical image segmentation.