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Título: | Comparative Assessment of the Image Divide and Link Algorithm in Different Color Spaces |
Autor: | Guada, Carely; Gómez, Daniel; Tinguaro Rodríguez, J.; Montero, Javier CSIC ORCID | Palabras clave: | Edge detection Color spaces Hierarchical partition Graph-based approach |
Fecha de publicación: | 12-mar-2018 | Editor: | Slovak Academy of Sciences | Citación: | Tatra Mountains Mathematical Publications 72(1): 31–41 (2018) | Resumen: | In this paper, a comparative assessment of the Image Divide and Link Algorithm (ID&L) in different color spaces is presented. This, in order to show the significance of choosing a specific color space when the algorithm computes the dissimilarity measure between adjacent pixels. Specifically, the algorithm procedure is based on treating a digital image as a graph, assigning a weight to each edge based on the dissimilarity measure between adjacent pixels. Then, the algorithm constructs a spanning forest through a Kruskal scheme to order the edges successively 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. The results of the algorithm which have been compared with those generated using different color spaces are shown. | Versión del editor: | https://doi.org/10.2478/tmmp-2018-0019 | URI: | http://hdl.handle.net/10261/187259 | DOI: | 10.2478/tmmp-2018-0019 | ISSN: | 1210-3195 |
Aparece en las colecciones: | (IGEO) Artículos |
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Comparative Assessment_Guada.pdf | 10,13 MB | Adobe PDF | Visualizar/Abrir |
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