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Guada, Carely Gómez González, Daniel Rodríguez González, Juan Tinguaro Yáñez Gestoso, Francisco Javier 2023-06-19T15:55:13Z 2023-06-19T15:55:13Z 2015 Guada, C., Gomez, D., Rodriguez, J.T., Yanez, J., Montero, J.: Fuzzy Image Segmentation Based on the Hierarchical Divide and Link Clustering Algorithm. En: 2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE). pp. 12-17. IEEE, Taipei, Taiwan (2015) 978-1-4673-9322-5 10.1109/ISKE.2015.89 https://hdl.handle.net/20.500.14352/35805 https//doi.org/10.1109/ISKE.2015.89 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7383017&abstractAccess=no&userType=inst In this paper, we present a method to obtain a Fuzzy Image Segmentation from the hierarchical clustering algorithm Divide and Link. The Divide and Link algorithm consists on treating a digital image as a graph, then building spanning forest through a Kruskal scheme to successively sort the edges while partitions are obtained. This process is driven until all the pixels of the image are segmented, that is, there are as many regions as pixels. metadata only access Fuzzy Image Segmentation Based on the Hierarchical Divide and Link Clustering Algorithm book part