Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeyMacedoConc:2007:DeGeCo
TitleDetection of Generic Conic Form Parameters Using Hough Transform
DateOct. 7-10, 2007
Access Date2021, Jan. 16
Number of Files1
Size155 KiB
Context area
Author1 Macedo, Maysa Malfiza Garcia de
2 Conci, Aura
Affiliation1 Universidade Federal Fluminense
2 Universidade Federal Fluminense
EditorGonçalves, Luiz
Wu, Shin Ting
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeTechnical Poster
History2008-07-17 14:09:45 :: -> administrator ::
2009-08-13 20:38:44 :: administrator -> banon ::
2010-08-28 20:02:32 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
KeywordsHough Transform, conics, shape analysis, pattern recognition.
AbstractHough Transform (HT) is a method for shape extraction that uses a parameter accumulator array. Based on the analysis of generic conic equation it is possible to establish a robust approach for conic shape identification in images if some aspects are respected. This paper introduces a unique methodology to detect any conic equation parameters using the HT idea. The basis of the formulation here presented is the use of polar coordinates to detect an open or closed form, and the parameters search sequence. In this way we can identify complex forms through of the union of several conic detections.
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Target Fileparameters_detection_2007camera_ready.pdf
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