1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/wiN5C |
Repository | sid.inpe.br/banon/2002/11.29.11.03 |
Last Update | 2002:11.14.02.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/11.29.11.03.40 |
Metadata Last Update | 2022:06.14.00.12.19 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2001.963041 |
Citation Key | LeandroCesaJeli:2001:PrAsMa |
Title | Blood vessels segmentation in retina: preliminary assessment of the mathematical morphology and of the wavelet transform techniques |
Year | 2001 |
Access Date | 2024, Apr. 27 |
Number of Files | 1 |
Size | 925 KiB |
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2. Context | |
Author | 1 Leandro, Jorge J. G. 2 Cesar Jr., Roberto M. 3 Jelinek, Herbert F. |
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 | 84-90 |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - Brazilian Computer Society |
History (UTC) | 2008-07-17 14:10:52 :: administrator -> banon :: 2008-08-26 15:22:02 :: banon -> administrator :: 2009-08-13 20:37:08 :: administrator -> banon :: 2010-08-28 20:00:12 :: banon -> administrator :: 2022-06-14 00:12:19 :: 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 | biological shape analysis; multiscale methods; retina pathology |
Abstract | This work reports the development of a system for automatic analysis of retinal angiographic images. Particularly, we focus on the segmentation of the blood vessels in these images. We started by implementing a previously known technique based on mathematical morphology. Due to some short comings of this method to our data, we have developed a new approach based on the continuous wavelet transform using the Morlet wavelet. The main advantage of the latter with respect to our images lies in its capabilities in tunning to specific frequencies, thus allowing noise filtering and blood vessel enhancement in a single step. Furthermore, as we intend to use shape analysis techniques for the detection and quantitative characterization of the vascular branching pattern in the retina, the wavelets will also be with respect performing fractal and multifractal image analysis. Nevertheless, it is worth mentioning that the mathematical morphology method was able to detect finer detail more precisely. Our present results suggest that an interesting direction to be investigated is how to use both approaches together in order to obtain better results and apply this as a diagnositic tool. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2001 > Blood vessels segmentation... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Blood vessels segmentation... |
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/wiN5C |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/wiN5C |
Language | en |
Target File | 84-90.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 8 |
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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