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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier83LX3pFwXQZW44Lb/d8rcJ
Repositorydpi.inpe.br/ambro/1998/05.12.16.49
Last Update1998:06.16.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2001/03.30.15.56.29
Metadata Last Update2022:06.14.00.16.54 (UTC) administrator
Citation KeyCoelhoCamp:1997:SiVeTe
TitleSimilarity-based versus template matching-based methodologies for image alignment of polyhedral-like objects under noisy conditions
Year1997
Access Date2024, Apr. 28
Number of Files1
Size254 KiB
2. Context
Author1 Coelho, Lúcio de Souza
2 Campos, Mário Fernando Montenegro
EditorFigueiredo, Luiz Henrique de
Netto, Marcio Lobo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 10 (SIBGRAPI)
Conference LocationCampos de Jordão, SP, Brazil
DateOct. 1997
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages155-162
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Sociedade Brasileira de Computação; USP - Universidade de São Paulo
History (UTC)2008-07-17 14:17:57 :: administrator -> banon ::
2008-08-26 15:26:28 :: banon -> administrator ::
2009-08-13 20:36:08 :: administrator -> banon ::
2010-08-28 20:04:51 :: banon -> administrator ::
2022-06-14 00:16:54 :: administrator -> :: 1997
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordstemplate matching
geometric modeling
biological applications
AbstractThe image alignment problem has as input a set of different images from a single object or several identical objects. One instance of the object in each image is misaligned relatively to the other in a given image, that is, the objects lie in different positions and orientations. Thus, the problem consists in finding the homogeneous planar transforms for each of those instances. The process is not simple in the case of noisy images. Nevertheless, it is possible to tackle some cases of the image alignment problem using template matching. This work describes two methodologies that were developed to align noisy images of protein quaternary structures obtained by Transmission Electron Microscopy (TEM). These structures can be geometrically described by regular prisms and polyhedra. One of the methods uses the traditional approach for this problem - exploring image similarities. The second one explores the geometric simplicity of the objects being imaged by using template matching in order to solve the problem. The results show that there are cases where the template matching method achieves higher precision and computational efficiency to align that kind of image when compared to traditional ones.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 1997 > Similarity-based versus template...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/83LX3pFwXQZW44Lb/d8rcJ
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZW44Lb/d8rcJ
Languageen
Target Fileart19.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RL7SS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.23.46 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Campos de Jordão, SP, Brazil, from October 13 to 16.
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