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Comparative Assessment of the Image Divide and Link Algorithm in Different Color Spaces
| Content Provider | Scilit |
|---|---|
| Author | Guada, Carely Gómez, Daniel Montero, Javier |
| Editor | Rodríguez, J. Tinguaro |
| Copyright Year | 2018 |
| Description | 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. |
| Related Links | https://content.sciendo.com/downloadpdf/journals/tmmp/72/1/article-p31.pdf |
| e-ISSN | 12103195 |
| DOI | 10.2478/tmmp-2018-0019 |
| Journal | Tatra Mountains Mathematical Publications |
| Issue Number | 1 |
| Volume Number | 72 |
| Language | English |
| Publisher | Walter de Gruyter GmbH |
| Publisher Date | 2018-12-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Tatra Mountains Mathematical Publications Tatra Mountains Mathematical Publications Artificial Intelligence Different Color Spaces |
| Content Type | Text |
| Resource Type | Article |
