1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/wmcRB |
Repository | sid.inpe.br/banon/2002/12.03.12.28 |
Last Update | 2002:11.28.02.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/12.03.12.28.36 |
Metadata Last Update | 2022:06.14.00.12.29 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2001.963068 |
Citation Key | FernandesNavaFich:2001:SeTEIm |
Title | Segmentation of TEM images using oscillatory neural networks |
Year | 2001 |
Access Date | 2024, May 02 |
Number of Files | 1 |
Size | 947 KiB |
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2. Context | |
Author | 1 Fernandes, Dênis 2 Navaux, Philippe Olivier Alexandre 3 Fichtner, Paulo Fernando Papaleo |
Editor | Borges, Leandro Díbio Wu, Shin-Ting |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI) |
Conference Location | Florianópolis, SC, Brazil |
Date | 15-18 Oct. 2001 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Pages | 289-296 |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - Brazilian Computer Society |
History (UTC) | 2008-07-17 14:10:54 :: administrator -> banon :: 2008-08-26 15:22:04 :: banon -> administrator :: 2009-08-13 20:37:18 :: administrator -> banon :: 2010-08-28 20:00:14 :: banon -> administrator :: 2022-06-14 00:12:29 :: administrator -> :: 2001 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | mage segmentation oscillatory networks neural networks |
Abstract | Oscillatory neural networks are a relatively recent approach for the problem of image segmentation. Inside of this context, the oscillator neuron of Terman-Wang is presented, which one is used as base element of an oscillatory network called LEGION (Locally Excitatory Globally Inhibitory Oscillator Network). The continuous version of the LEGION network, based on a set of differential equations, presents high computational complexity and has limited capacity of segmentation, what restricts its practical application, being adequate for implementation in parallel hardware topologies. To reduce the computational complexity in serial computers, an algorithm proposed by Terman and Wang is presented, which implies significant gain of speed in comparison to the continuous version and, in contrast, capacity to discriminate a unlimited number of segments.An interactive version of this algorithm was proposed and the results obtained in segmentation of transmission electron microscopy (TEM) images were evaluated, with the objective of obtaining measures of helium bubbles in silicon samples. As final result we found that the LEGION network presents itself as a singular alternative to solve problems of image segmentation, which provides simultaneously both spatial and temporal discrimination of segments. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2001 > Segmentation of TEM... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Segmentation of TEM... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/6qtX3pFwXQZeBBx/wmcRB |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/wmcRB |
Language | en |
Target File | 289-296.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46Q6TJ5 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/04.29.19.35 10 sid.inpe.br/sibgrapi/2022/06.10.21.49 1 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Florianópolis, SC, Brazil, from October 15 to 18. |
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