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Guada, Carely and Gomez, D. and Rodríguez, Juan Tinguaro and Yáñez, Javier (2015) Fuzzy Image Segmentation Based on the Hierarchical Divide and Link Clustering Algorithm. In Intelligent Systems and Knowledge Engineering (ISKE), 2015 10th International Conference on. IEEE, pp. 12-17. ISBN 978-1-4673-9322-5
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7383017&abstractAccess=no&userType=inst
Abstract
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.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | Fuzzy Image Segmentation; Hierarchical Image Segmentation; clustering; Image network; Spanning forest |
| Subjects: | Sciences > Mathematics > Operations research |
| ID Code: | 35468 |
| Deposited On: | 08 Feb 2016 12:15 |
| Last Modified: | 03 Jun 2016 14:00 |
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