DocumentCode :
2307667
Title :
A moment-based approach for deskewing rotationally symmetric shapes
Author :
Pei, Soo-Chang ; Horng, Ji-Hwei
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume :
1
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
248
Abstract :
The covariance matrix of a rotationally symmetric shape is a scalar identity matrix. We apply this property of covariance matrix to deskew the skewed shape of rotational symmetry. The parameters of the deskew transformation matrix are solved by letting the covariance matrix of the transformed shape be equal to a scalar identity matrix. Then, the rotationally symmetric shape can be recovered by the deskew transformation matrix. The method does not rely on continuous contours, since only second-order moments of the input shape are required to be computed. Experimental results are also presented
Keywords :
computational complexity; covariance matrices; image processing; method of moments; covariance matrix; deskew transformation matrix; deskewing; image analysis; rotationally symmetric shapes; scalar identity matrix; second-order moments; Covariance matrix; Equations; Graphics; Image analysis; Metalworking machines; Shape; Symmetric matrices; Transmission line matrix methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.546028
Filename :
546028
Link To Document :
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