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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/wiN5C
Repositorysid.inpe.br/banon/2002/11.29.11.03
Last Update2002:11.14.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/11.29.11.03.40
Metadata Last Update2022:06.14.00.12.19 (UTC) administrator
DOI10.1109/SIBGRAPI.2001.963041
Citation KeyLeandroCesaJeli:2001:PrAsMa
TitleBlood vessels segmentation in retina: preliminary assessment of the mathematical morphology and of the wavelet transform techniques
Year2001
Access Date2024, Apr. 27
Number of Files1
Size925 KiB
2. Context
Author1 Leandro, Jorge J. G.
2 Cesar Jr., Roberto M.
3 Jelinek, Herbert F.
EditorBorges, Leandro Díbio
Wu, Shin-Ting
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI)
Conference LocationFlorianópolis, SC, Brazil
Date15-18 Oct. 2001
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages84-90
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - 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
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsbiological shape analysis; multiscale methods; retina
pathology
AbstractThis 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 1urlib.net > SDLA > Fonds > SIBGRAPI 2001 > Blood vessels segmentation...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Blood vessels segmentation...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/wiN5C
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/wiN5C
Languageen
Target File84-90.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46Q6TJ5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/04.29.19.35 8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Florianópolis, SC, Brazil, from October 15 to 18.
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