Wavelet-based energy features for glaucomatous image classification

IEEE Transactions on Information Technology in Biomedicine

Volumn 16, Issue 1, 2012, Pages 80-87

  Dua, Sumeet ^a   Rajendra Acharya, U ^b   Chowriappa, Pradeep ^a   Vinitha Sree, S ^c  

^a Louisiana Tech University   (United States)

^b DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Biomedical optical imaging; Data mining; Feature extraction; Glaucoma; Image texture; Wavelet transforms

Indexed keywords

2-D DISCRETE WAVELET TRANSFORMS; BAYES CLASSIFICATION; BIOMEDICAL OPTICAL IMAGING; BIORTHOGONAL; CROSS VALIDATION; DAUBECHIES; ENERGY DISTRIBUTIONS; ENERGY FEATURE; ENERGY SIGNATURES; FEATURE RANKING; GLAUCOMA; NOVEL TECHNIQUES; RANDOM FORESTS; SEQUENTIAL MINIMAL OPTIMIZATION; SYMLETS; TEXTURE FEATURES; WAVELET FILTERS; WAVELET SUBBANDS;

DATA MINING; DECISION TREES; DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION; OPHTHALMOLOGY; TEXTURES; WAVELET TRANSFORMS;

IMAGE TEXTURE;

ADULT; AGED; ALGORITHM; ARTICLE; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; GLAUCOMA; HUMAN; METHODOLOGY; MIDDLE AGED; PATHOLOGY; REPRODUCIBILITY; VISUAL SYSTEM EXAMINATION; WAVELET ANALYSIS;

ADULT; AGED; ALGORITHMS; BAYES THEOREM; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; GLAUCOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; WAVELET ANALYSIS;

EID: 84856839356     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2011.2176540     Document Type: Article

References (31)

1. R. Varma et al., "Disease progression and the need for neuroprotection in glaucoma management," Am. J. Manage Care, vol. 14, pp. S15-S19, 2008 (Pubitemid 351341924)
2. R. George, R. S. Ve, and L. Vijaya, "Glaucoma in India: Estimated burden ofdisease," J. Glaucoma, vol. 19, pp. 391-397, Aug. 2010
3. K. R. Sung et al., "Imaging of the retinal nerve fiber layer with spectral domain optical coherence tomography for glaucoma diagnosis," Br. J. Ophthalmol., 2010
4. J. M. Miquel-Jimenez et al., "Glaucoma detection by wavelet-based anal-ysis of the global flash multifocal electroretinogram," Med. Eng. Phys., vol. 32, pp. 617-622, 2010
5. B. Brown, "Structural and functional imaging of the retina: New ways to diagnose and assess retinal disease," Clin. Exp. Optometry, vol. 91, pp. 504-514,2008
6. S. Weiss, C. A. Kulikowski, and A. Safir, "Glaucoma consultation by computer," Comp. Biol. Med., vol. 8, pp. 24-40, 1978
7. S. Weiss et al., "A model-based method for computer-aided medical decision-making," Artif. Intell., vol. 11, pp. 145-172, 1978 (Pubitemid 9397516)
8. R. O. Duncan et al., "Retinotopic organization of primary visual cortex in glaucoma: A method for comparing cortical function with damage to the optic disk," Invest. Ophthalmol. Vis. Sci., vol. 48, pp. 733-744, Feb. 2007 (Pubitemid 351260707)
9. M. Balasubramanian et al., "Clinical evaluation of the proper orthagonal decomposition framework for detecting glaucomatous changes in human subjects," Invest. Ophthalmol. Vis. Sci., vol. 51, pp. 264-271, 2010
10. U. R. Acharya, S. Dua, X. Du, V. S. Sree, and C. K. Chua, "Automated diagnosis of glaucoma using texture and higher order spectra features," IEEE Trans. Inf. Technol. Biomed., vol. 15, no. 3, pp. 449-455, May 2011
11. S. Dua, U. R. Acharya, and E. Y. K. Ng, Computational Analysis of the Human Eye With Applications. World Scientific Press, 2011
12. E. A. Essock, Y. Zheng, and P. Gunvant, "Analysis of GDx-VCC polarime-try data by wavelet-Fourier analysis across glaucoma stages," Invest. Ophthalmol. Vis. Sci., vol. 46, pp. 2838-2847, Aug. 2005 (Pubitemid 43086706)
13. K. Huang and S. Aviyente, "Wavelet feature selection for image classification," IEEE Trans. Image Process., vol. 17, no. 9, pp. 1709-1720, Sep. 2008
14. A. Arivazhagan and L. Ganesan, "Texture classification using wavelet transform," Pattern Recog. Lett., vol. 24, pp. 1513-1521, 2003 (Pubitemid 36225856)
15. I. Daubechies, Ten Lectures on Wavelets. Philadelphia, PA: Society for Industrial and Applied Mathematics, 1992
16. R. C. Gonzalez and R. E. Woods, Digital Image Processing. NJ: Prentice Hall, 2001
17. M. H. Dunham, Data Mining Introductory and Advance Topics. NJ: Pren-tice Hall, 2002
18. H. Liu and R. Setiono, "Chi2: Feature selection and discretization of numeric attributes," in Proc. IEEE 7th Int. Conf. Tools With Artif. Intell., 1995,pp. 338-391
19. J. R. Quinlan, "Induction of desion trees," Mach. Learning, vol. 1, pp. 81-106,1986
20. J. R. Quinlan, C4.5 Programs for Machine Learning. San Mateo: Morgan Kaufmann, 1993
21. K. Kira and L. A. Rendell, "A practical approach to feature selection," in Proc. 9th Int. Workshop Mach. Learning, San Francisco, CA, 1992, pp. 249-256
22. H. Liu and R. Setinono, "A probabilistic approach to feature selection\-A filter solution," in Proc. 13th Int. Conf. Mach. Learning, Bari, Italy, 1996, pp. 319-327
23. M. Hall et al., "The WEKA data mining software: An update," SIGKDD Explorations, vol. 11, pp. 10-18, 2009
24. D. Furcy and S. Koenig, "Limited discrepancy beam search," in Proc. Int. Joint Conf. Artif. Intell., 2005, pp. 125-131
25. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Boston, MA: Addison-Wesley, 1989
26. C.-C. Chang and C.-J. Lin. (2001). LIBSVM: A library for support vector machines. [Online]. Available: [Accessed: March 10, 2011.] http://www.csie.ntu. edu.tw/~cjlin/libsvm
27. S. S. Keerthi et al., "Improvements to Platt's SMO algorithm for SVM classifier design," Neural Comput., vol. 13, pp. 637-649, 2001 (Pubitemid 33595014)
28. L. Breiman, "Randomforests," Mach. Learning, vol. 45, pp. 5-32, 2001
29. G. H. John and P. Langley, "Estimating continuous distributions in Bayesian classifiers," in Proc. 11th Conf. Uncertainty Artif. Intell., San Mateo, 1995, pp. 338-345
30. J. Nayak, U. R. Acharya, P. S. Bhat, A. Shetty, and T. C. Lim, "Automated diagnosis ofglaucomausing digitalfundus images," J.Med. Syst., vol. 33, no. 5, pp. 337-346, Aug. 2009
31. Glaucoma guide. (2010). [Online]. Available: http://www.medrounds. org/glaucoma-guide/2006/02/section-1-b-meaning-of-cupping.html 17