DocumentCode :
3046921
Title :
Elliptic arc vectorization for 3D pie chart recognition
Author :
Huang, Weihua ; Tan, Chew Lim ; Leow, Wee Kheng
Author_Institution :
SOC, Nat. Univ. of Singapore, Singapore
Volume :
5
fYear :
2004
fDate :
24-27 Oct. 2004
Firstpage :
2889
Abstract :
In 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.
Keywords :
document image processing; feature extraction; image recognition; image segmentation; 3D pie chart recognition; curve fitting; data extraction; elliptic arc vectorization; parameter estimation; straight line segment; Curve fitting; Data mining; Image analysis; Image edge detection; Image recognition; Image segmentation; Parameter estimation; Pixel; Testing; Text analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-8554-3
Type :
conf
DOI :
10.1109/ICIP.2004.1421716
Filename :
1421716
Link To Document :
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