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Guada, Carely and Gómez, Daniel and Rodríguez, Juan Tinguaro and Yáñez, Javier and Montero, Javier (2015) A fuzzy edge-based image segmentation approach. In Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology. Advances in Intelligent Systems Research (89). Atlantis Press, pp. 1216-1222. ISBN 978-94-62520-77-6
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Abstract
In this paper, we present a way to define the concept of fuzzy image segmentation, which has not been clearly defined in the literature. In this work the term Fuzzy image segmentation is characterized by means of a fuzzy set over the set of edges, which can be understood as the fuzzy boundary of the image. Also we discuss a visualization of an image segmentation in terms of edge detection. But first, we define two concepts of crisp image segmentation on an image network, one based on nodes and the other one focusing on edges.
Item Type: | Book Section |
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Additional Information: | 16th World Congress of the International-Fuzzy-Systems-Association (IFSA) / 9th Conference of the European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT), Gijon, SPAIN, JUN 30-JUL 03, 2015 |
Uncontrolled Keywords: | Fuzzy set; Image segmentation; Crisp image segmentation; Graph-based fuzzy image segmentation |
Subjects: | Sciences > Mathematics > Mathematical statistics |
ID Code: | 32920 |
Deposited On: | 27 Aug 2015 11:47 |
Last Modified: | 02 Jun 2016 14:59 |
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