Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/41056
DC FieldValue
dc.titleElliptic arc vectorization for 3D pie chart recognition
dc.contributor.authorHuang, W.
dc.contributor.authorTan, C.L.
dc.contributor.authorLeow, W.K.
dc.date.accessioned2013-07-04T08:18:35Z
dc.date.available2013-07-04T08:18:35Z
dc.date.issued2004
dc.identifier.citationHuang, W.,Tan, C.L.,Leow, W.K. (2004). Elliptic arc vectorization for 3D pie chart recognition. Proceedings - International Conference on Image Processing, ICIP 2 : 2889-2892. ScholarBank@NUS Repository.
dc.identifier.issn15224880
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41056
dc.description.abstractIn this paper, we present a novel approach to vectorize elliptic arcs for 3D pie chart recognition and data extraction. As a preprocessing step, a set of straight line segments are obtained first. By estimating the parameters based on the line segments, we are able to generate elliptic arc candidates. Curve fitting is then performed to reject false positives and further refine the parameters of each elliptic arc. The vectorized elliptic arcs are the key components in the 3D pie charts that allow us to determine the chart type and to extract data values embedded. Experiments using a group of testing images show that the proposed method works well and is computationally efficient. ©2004 IEEE.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleProceedings - International Conference on Image Processing, ICIP
dc.description.volume2
dc.description.page2889-2892
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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