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...
| Veröffentlicht in: | International journal of imaging systems and technology. - 1990. - 18(2008), 5-6 vom: 28., Seite 336-344 |
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| Format: | Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2008
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| Zugriff auf das übergeordnete Werk: | International journal of imaging systems and technology |
| Schlagworte: | Journal Article |
| Zusammenfassung: | 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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| Beschreibung: | Date Revised 20.10.2021 published: Print Citation Status PubMed-not-MEDLINE |
| ISSN: | 0899-9457 |