Fast moment generating architectures

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 18, Issue 4, 2008, Pages 533-537

  Kotoulas, Leonidas ^a   Andreadis, Ioannis ^a  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

Author keywords

Computer vision; Field programmable gate arrays (FPGAs); FPGA; Image moments; Real time

Indexed keywords

FIELD-PROGRAMMABLE GATE ARRAYS (FPGAS); FPGA; GEOMETRIC CHARACTERISTICS; HIGH ORDERS; IMAGE MOMENTS; IMAGE WATERMARKING; ORTHOGONAL MOMENTS; REAL-TIME; SOFTWARE IMPLEMENTATIONS;

COMPUTER VISION; LOGIC GATES;

FIELD PROGRAMMABLE GATE ARRAYS (FPGA);

EID: 64149118861     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2008.918760     Document Type: Article

References (19)

1. M. K. Hu, "Visual pattern recognition by moment invariants," IRE Trans. Inf. Theory, vol. 8, no. 2, pp. 179-187, Feb. 1962.
2. M. R. Teague, "Image analysis via the general theory of moments," J. Opt. Soc. Amer., vol. 70, no. 8, pp. 920-930, Aug. 1980.
3. R. Mukundan, S. H. Ong, and P. A. Lee, "Image analysis by Tchebichef moments," IEEE Trans. Image Process., vol. 10, no. 9, pp. 1357-1364, Sep. 2001.
4. P. T. Yap, R. Paramesran, and S. H. Ong, "Image analysis by Krawtchouk moments," IEEE Trans. Image Process., vol. 12, no. 11, pp. 1367-1377, Nov. 2003.
5. G. B. Wang and S. G. Wang, "Recursive computation of Tchebichef moment and its inverse transform," Pattern Recognit., vol. 39, no. 1, pp. 47-56, Jan. 2006.
6. R. Mukundan, "Some computational aspects of discrete orthonormal moments," IEEE Trans. Image Process., vol. 13, no. 8, pp. 1055-1059, Aug. 2004.
7. L. Kotoulas and I. Andreadis, "Fast computation of Chebyshev moments," IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 7, pp. 884-888, Jul. 2006.
8. M. Hatamian, "A real-time two-dimensional moment generating algorithm and its single chip implementation," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-34, no. 3, pp. 546-553, Jun. 1986.
9. F. Scheid, Schaum's Outline of Theory and Problems of Numerical Analysis. New York: McGraw Hill, 1968.
10. R. L. Graham, D. E. Knuth, and O. Patashnik, Concrete Mathematics. Reading, MA: Addison-Wesley, 1989.
11. L. Kotoulas and I. Andreadis, "Efficient hardware architectures for computation of image moments," Real Time Imag., vol. 10, no. 6, pp. 371-378, Dec. 2004.
12. W.-H. Wong and W.-C. Siu, "Improved digital filter structure for the fast moments computation," in Proc. IEE Vision, Image Signal Process., Apr. 1999, vol. 146, no. 2, pp. 73-79.
13. J. Martinez and F. Thomas, "Efficient computation of local geometric moments," IEEE Trans. Image Process., vol. 11, no. 9, pp. 1102-1111, Sep. 2002.
14. H. Z. Shu, L. M. Luo, X. D. Bao, W. X. Yu, and G. Han, "An efficient method for computation of Legendre moments," Graph. Models, vol. 62, no. 4, pp. 237-262, Jul. 2000.
15. H. Z. Shu, L. M. Luo, W. X. Yu, and Y. Fu, "A new fast method for computing Legendre moments," Pattern Recognit., vol. 33, no. 2, pp. 341-348, Feb. 2000.
16. R. Mukundan and K. R. Ramakrishnan, "Computation of legendre and Zernike moments," Pattern Recognit., vol. 28, no. 9, pp. 1433-1442, Sep. 1995.
17. J. D. Zhou, H. Z. Shu, L. M. Luo, and W. X. Yu, "Two new algorithms for efficient computation of Legendre moments," Pattern Recognit., vol. 35, no. 5, pp. 1143-1152, May 2002.
18. P. T. Yap and R. Paramesran, "An efficient method for the computation of Legendre moments," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 12, pp. 1996-2002, Dec. 2005.
19. G. Y. Yang, H. Z. Shu, C. Toumoulin, G. N. Han, and L. M. Luo, "Efficient Legendre moment computation for grey level images," Pattern Recognit., vol. 39, no. 1, pp. 74-80, Jan. 2006.