Optimization procedures for the estimation of phase portrait parameters of orientation fields

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6064, Issue , 2006, Pages

  Ayres, Fábio J ^a,b   Rangayyan, Rangaraj M ^a,b  

^a SPIE ^*  (Canada)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

Optimization; Orientation fields; Oriented texture; Phase portraits

Indexed keywords

ORIENTATION FIELDS; ORIENTED TEXTURE; PHASE PORTRAITS;

ALGORITHMS; DIFFERENTIAL EQUATIONS; ERROR ANALYSIS; ESTIMATION; OPTIMIZATION; PATTERN RECOGNITION;

IMAGE PROCESSING;

EID: 33645667652     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.644852     Document Type: Conference Paper

References (16)

1. S. Shah and P. S. Sastry, "Fingerprint classification using a feedback-based line detector," IEEE Transactions on Systems, Man, and Cybernetics - part B: Cybernetics 34, pp. 85-94, February 2004.
2. N. R. Mudigonda, R. M. Rangayyan, and J. E. L. Desautels, "Detection of breast masses in mammograms by density slicing and texture flow-field analysis," IEEE Transactions on Medical Imaging 20(12), pp. 1215-1227, 2001.
3. F. J. Ayres and R. M. Rangayyan, "Characterization of architectural distortion in mammograms," IEEE Engineering in Medicine and Biology Magazine 24, pp. 59-67, January 2005.
4. F. J. Ayres and R. M. Rangayyan, "Detection of architectural distortion in mammograms using phase portraits," in Proceedings of SPIE Medical Imaging 2004: Image Processing, J. M. Fitzpatrick and M. Sonka, eds., 5370, pp. 587-597, (San Diego, CA), February 2004.
5. F. J. Ayres and R. M. Rangayyan, "Detection of architectural distortion in mammograms via analysis of phase portraits and curvilinear structures," in Proceedings of the 3rd European Medical and Biological Engineering Conference EMBEC'05, (Prague, Czech Republic), November 2005. paper number 1873, six pages on CD-ROM.
6. N. Karssemeijer and G. M. te Brake, "Detection of stellate distortions in mammograms," IEEE Transactions on Medical Imaging 15(5), pp. 611-619, 1996.
7. R. Zwiggelaar, S. M. Astley, C. R. M. Boggis, and C. J. Taylor, "Linear structures in mammographic images: Detection and classification," IEEE Transactions on Medical Imaging 23, pp. 1077-1086, September 2004.
8. N. Merlet and J. Zerubia, "New prospects in line detection by dynamic programming," IEEE Transactions on Pattern Analysis and Machine Intelligence 18, pp. 426-431, April 1996.
9. A. R. Rao and R. C. Jain, "Computerized flow field analysis: Oriented texture fields," IEEE Transactions on Pattern Analysis and Machine Intelligence 14, pp. 693-709, July 1992.
10. A. R. Rao, A Taxonomy for Texture Description and Identification, Springer-Verlag, New York, NY, 1990.
11. C.-F. Shu and R. C. Jain, "Vector field analysis for oriented patterns," IEEE Transactions on Pattern Analysis and Machine Intelligence 16, pp. 946-950, September 1994.
12. F. J. Ayres and R. M. Rangayyan, "An iterative linear algorithm for the analysis of oriented patterns," Image Processing: Algorithms and Systems HI 5298(1), pp. 232-241, SPIE, (San Jose, CA), 2004.
13. D. W. Marquardt, "An algorithm for the least-squares estimation of nonlinear parameters," Journal of the Society for Industrial and Applied Mathematics 11, pp. 431-441, 1963.
14. S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi, "Optimization by simulated annealing," Science 220(4598), pp. 671-680, 1983.
15. C. R. Wylie and L. C. Barrett, Advanced Engineering Mathematics, McGraw-Hill, New York, NY, 6th ed., 1995.
16. M. Galassi, J. Davies, J. Theiler, B. Gough, G. Jungman, M. Booth, and F. Rossi, GNU Scientific Library: Reference Manual, Network Theory, Bristol, UK, 2nd ed., 2003.