Fast Interactive Segmentation Of Natural Images Using The Image Foresting Transform

dc.creatorSpina T.V.
dc.creatorMontoya-Zegarra J.A.
dc.creatorFalcao A.X.
dc.creatorMiranda P.A.V.
dc.date2009
dc.date2015-06-26T13:34:52Z
dc.date2015-11-26T15:33:51Z
dc.date2015-06-26T13:34:52Z
dc.date2015-11-26T15:33:51Z
dc.date.accessioned2018-03-28T22:42:26Z
dc.date.available2018-03-28T22:42:26Z
dc.identifier9781424432981
dc.identifierDsp 2009: 16th International Conference On Digital Signal Processing, Proceedings. , v. , n. , p. - , 2009.
dc.identifier
dc.identifier10.1109/ICDSP.2009.5201044
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-70449565013&partnerID=40&md5=d99373b06bb802c771c2f0450024c73c
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/92091
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/92091
dc.identifier2-s2.0-70449565013
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1262850
dc.descriptionThis paper presents an unified framework for fast interactive segmentation of natural images using the image foresting transform (1FT) - A tool for the design of image processing operators based on connectivity functions (path-value functions) in graphs derived from the image. It mainly consists of three tasks: recognition, enhancement, and extraction. Recognition is the only interactive task, where representative image properties for enhancement and the object's location for extraction are indicated by drawing a few markers in the image. Enhancement increases the dissimilarities between object and background for more effective object extraction, which completes segmentation. We show through extensive experiments that, by exploiting the synergism between user and computer for recognition and enhancement, respectively, as a separated step from recognition and extraction, respectively, one can reduce user involvement with better accuracy. We also describe new methods for enhancement based on fuzzy classification by 1FT and for feature selection and/or combination by genetic programming. © 2009 IEEE.
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dc.languageen
dc.publisher
dc.relationDSP 2009: 16th International Conference on Digital Signal Processing, Proceedings
dc.rightsfechado
dc.sourceScopus
dc.titleFast Interactive Segmentation Of Natural Images Using The Image Foresting Transform
dc.typeActas de congresos


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