Parallel Fuzzy Segmentation of Multiple Objects
The usefulness of fuzzy segmentation algorithms based on fuzzy connectedness principles has been established in numerous publications. New technologies are capable of producing larger-and-larger datasets and this causes the sequential implementations of fuzzy segmentation algorithms to be time-consu...
| Publié dans: | International journal of imaging systems and technology. - 1990. - 18(2008), 5-6 vom: 01., Seite 336-344 |
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| Auteur principal: | |
| Autres auteurs: | |
| Format: | Article |
| Langue: | English |
| Publié: |
2008
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| Accès à la collection: | International journal of imaging systems and technology |
| Sujets: | Journal Article |
| Résumé: | The usefulness of fuzzy segmentation algorithms based on fuzzy connectedness principles has been established in numerous publications. New technologies are capable of producing larger-and-larger datasets and this causes the sequential implementations of fuzzy segmentation algorithms to be time-consuming. We have adapted a sequential fuzzy segmentation algorithm to multi-processor machines. We demonstrate the efficacy of such a distributed fuzzy segmentation algorithm by testing it with large datasets (of the order of 50 million points/voxels/items): a speed-up factor of approximately five over the sequential implementation seems to be the norm |
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| Description: | Date Revised 29.05.2025 published: Print Citation Status PubMed-not-MEDLINE |
| ISSN: | 0899-9457 |