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dc.contributor.authorUnal, Gozde
dc.contributor.authorKrim, Hamid
dc.contributor.authorYezzi, Anthony
dc.date.accessioned2013-09-16T19:59:23Z
dc.date.available2013-09-16T19:59:23Z
dc.date.issued2000-06
dc.identifier.citationUnal, G.B.; Krim, H.; & Yezzi, A. (2000). "A Stochastic Flow for Feature Extraction". Proceedings of the 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000), Vol. 1, June 2000, pp.277-280.en_US
dc.identifier.isbn0-7803-6293-4
dc.identifier.issn1520-6149
dc.identifier.urihttp://hdl.handle.net/1853/48949
dc.description© 2000 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.descriptionPresented at the 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000), 05-09 June 2000, Istanbul, Turkey.en_US
dc.descriptionDOI: 101109/ICASSP.2000.861943en_US
dc.description.abstractIn recent years evolution of level sets of two-dimensional functions or images in time through a partial differential equation has emerged as an important tool in image processing. Curve evolutions, which may be viewed as an evolution of a single level curve, has been applied to a wide variety of problems such as smoothing of shapes, shape analysis and shape recovery. We give a stochastic interpretation of the basic curve smoothing equation, the so called geometric heat equation, and show that this evolution amounts to a rotational diffusion movement of the particles along the contour. Moreover, assuming that a priori information about the orientation of objects to be preserved is known, we present new flows which amount to weighting the geometric heat equation nonlinearly as a function of the angle of the normal to the curve at each point.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectCurve evolutionsen_US
dc.subjectGeometric heat equationen_US
dc.subjectImage processingen_US
dc.subjectStochastic flowen_US
dc.titleA Stochastic Flow for Feature Extractionen_US
dc.typeProceedings
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineeringen_US
dc.publisher.originalInstitute of Electrical and Electronics Engineers
dc.identifier.doi10.1109/ICASSP.2000.861943


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