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|a eng
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| 100 |
1 |
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|a Garduño, Edgar
|e verfasserin
|4 aut
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| 245 |
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|a Parallel Fuzzy Segmentation of Multiple Objects
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| 264 |
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|c 2008
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| 336 |
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|a Text
|b txt
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|b nc
|2 rdacarrier
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| 500 |
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|a Date Revised 20.10.2021
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a 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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| 650 |
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|a Journal Article
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| 700 |
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|a Herman, Gabor T
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t International journal of imaging systems and technology
|d 1998
|g 18(2008), 5-6 vom: 28., Seite 336-344
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|x 0899-9457
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|g day:28
|g pages:336-344
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