DocumentCode :
384109
Title :
New algorithms for geometric transformations of digital images and patterns
Author :
Li, Z.C. ; Lin, J.Y. ; Suen, C.Y. ; Wang, H.
Author_Institution :
Dept. of Appl. Math., Nat. Sun Yat-Sen Univ., Taiwan
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
315
Abstract :
Nonlinear geometric transformations, such as the splitting-shooting method (SSM), the splitting-integrating method (SIM) and their combination (CSIM), and their advanced versions S~S~M, S~I~M, CS~I~M have been developed. This paper proposes new versions of such nonlinear transformations, S~S~#M, S~I~#M, CS~#I~#M, approximated by piecewise linear transformations to circumvent the necessity of finding the nonlinear solutions, and to obtain exact integration computationally. The absolute errors of pixel greyness are proven to be O(H), where H is the length of a pixel region. It is worth pointing out that the new algorithms in this paper do not produce any sequential errors as N≥N0. Apart from this distinctive feature, the absolute error bound O(H) can be applied to all kinds of images with discontinuity, including fully isolated pixels.
Keywords :
computational geometry; error analysis; image recognition; image reconstruction; transforms; absolute error bound; digital images; error analysis; nonlinear geometric transformations; piecewise linear transformations; pixel greyness; sequential errors; Approximation algorithms; Digital images; Image converters; Image restoration; Machine intelligence; Mathematics; Partitioning algorithms; Pattern recognition; Piecewise linear approximation; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1047856
Filename :
1047856
Link To Document :
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