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