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