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dc.contributor.authorGalambos, C.
dc.contributor.authorKittler, J.
dc.contributor.authorMatas, J.
dc.date.accessioned2012-06-07T08:19:23Z
dc.date.available2012-06-07T08:19:23Z
dc.date.issued2001-06
dc.identifier.citationC Galambos, J. Kittler, and J. Matas. Gradient based progressive probabilistic hough transform. IEE Proceedings - Vision Image and Signal Processing, 148(15):158-165, June 2001.cze
dc.identifier.urihttp://hdl.handle.net/10467/9485
dc.description.abstractThe authors look at the benefits of exploiting gradient information to enhance the progressive probabilistic Hough transform (PPHT). It is shown that using the angle information in controlling the voting process and in assigning pixels to a line, the PPHT performance can be significantly improved. The performance gains are assessed in terms of repeatability of results, a measure that has direct relevance for its use in many applications, The overall improvement in output quality is shown to be greater than that found for the standard Hough transform using the same information. The improved algorithm gives results very close to those of the standard Hough transform, but requires significantly less computation.eng
dc.language.isocescze
dc.publisherIEEE/IETcze
dc.rights© 2001 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.eng
dc.rightsThis paper is a postprint of a paper submitted to and accepted for publication in IEE Proceedings - Vision, Image and Signal Processing and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Libraryeng
dc.titleGradient based progressive probabilistic Hough transformcze
dc.typečlánek z tištěného periodikacze
dc.identifier.doi10.1049/ip-vis:20010354


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