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Template localization using invariant moments

Published: 17 June 2010 Publication History

Abstract

A variant for solving the task for template localization in a greater image, using invariant moments is presented in the paper. Template and image are represented by specially extracted sets of points. Mutual spatial location of both subsets gives opportunity parameters of image transformation to be approximately derived.

References

[1]
Chan C. H., Y. S. Hung, C. H. Leung, Correspondences Between Two Images Using Local Affine Moment Invariant, WSCG 2005 SHORT papers proceedings, UNION Agency -- Science Press, January-February 2005
[2]
Dai X., S. Khorram, A Feature-Based Image Registration Algorithm Using Improved Chain-Code Representation Combined with Invariant Moments, IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No 5, pp. 2351--2362, September 1999
[3]
Flusser J., Moment Invariants in Image Analysis, Transactions on Engineering, Computing and Technology, Vol. 11, pp. 196--201, February 2006
[4]
Flusser J., B. Zitova, T. Suk, Invariant-Based Registration of Rotated and Blurred Images, Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, 1999
[5]
Flusser J., T. Suk, On the Calculation of Image moments, Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Research Report No1946, 1999
[6]
Flusser J., T. Suk, Construction of Complied and Independent Systems of Rotation Moment Invariants, CAIP 2003, LNCS 756, pp. 41--48, 2003
[7]
Goshtasby A., Template Matching in Rotated Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 7, pp. 338--344, 1985
[8]
Petkova, Y., FPGA-Based Module for Image Preprocessing, 29th ISSE 2006, 10th -- 14th May 2006, St. Marienthal, Germany, ISBN: 3-934142-23-0, pp. 115--119, http://shop.ieee.org/ieeestore
[9]
Ritter, G. X., J. N. Wilson, Computer Vision Algorithms in Image Algebra, CRC Press, 2001
[10]
Thomas, S., J. Flusser, Combined Blur and Affine Moment Invariants and Their Use in Pattern Recognition, Pattern Recognition, No36, pp. 2895--2907, 2003
[11]
Tyanev, D., Y. Petkova, "A New Method for Important Points Extraction", International Conference on Computer Systems and Technologies CompSysTech'2004, 17th -- 18th June 2004, Rousse, Bulgaria, ISBN 954-9641-384, pp. IIIA.11-1--IIIA11-8
[12]
Ventura, A. D., A. Rampini, R. Schettini, Image Registration by Recognition of Corresponding Sructures, IEEE Transactions on Geoscience and Remote Sensing, 28, pp. 305--314, 1990
[13]
Zitova B., J. Flusser, J. Kautsky, Gabriele Peters, Feature Point Detection in Multiframe Images, Czech Pattern Recognition Workshop 2000, February 2000

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CompSysTech '10: Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
June 2010
575 pages
ISBN:9781450302432
DOI:10.1145/1839379
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 17 June 2010

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Author Tags

  1. invariant moments
  2. representative points
  3. template localization
  4. template matching

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CompSysTech '10

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