A Scaled Morphological Toggle Operator For Image Transformations

dc.creatorLeite N.J.
dc.creatorDorini L.B.
dc.date2006
dc.date2015-06-30T18:17:13Z
dc.date2015-11-26T14:29:18Z
dc.date2015-06-30T18:17:13Z
dc.date2015-11-26T14:29:18Z
dc.date.accessioned2018-03-28T21:32:30Z
dc.date.available2018-03-28T21:32:30Z
dc.identifier0769526861; 9780769526867
dc.identifierBrazilian Symposium Of Computer Graphic And Image Processing. , v. , n. , p. 323 - 330, 2006.
dc.identifier15301834
dc.identifier10.1109/SIBGRAPI.2006.2
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-34948839372&partnerID=40&md5=9202aa8479c7f05be20aa6c0bf3f238e
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/103840
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/103840
dc.identifier2-s2.0-34948839372
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1246800
dc.descriptionScale dependent signal representations have proved to be useful in several image processing applications. In this paper, we define a toggle operator for binarization/segmentation purposes based on scaled versions of an image transformed by morphological operations. The toggle decision rule, determining the new value of a pixel, considers local spatial information, in contrast to other multiscale approaches that takes into account mainly global information (e.g., the scale signal under study). We show that the proposed operator can identify significant image extrema information in such a way that when it is used in a binarization process yields very good segmentation and filtering results. Our algorithm is validated against known threshold-based segmentation methods using images of different classes and subjected to different lighting conditions. © 2006 IEEE.
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dc.description330
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dc.languageen
dc.publisher
dc.relationBrazilian Symposium of Computer Graphic and Image Processing
dc.rightsfechado
dc.sourceScopus
dc.titleA Scaled Morphological Toggle Operator For Image Transformations
dc.typeActas de congresos


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