Efficient Edge Detection Using Simplified Gabor Wavelets

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 39, Issue 4, 2009, Pages 1036-1047

  Jiang, Wei ^a,b   Shen, Ting Zhi ^a   Lam, Kin Man ^b  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Edge detection; Gabor wavelets (GWs); simplified GWs (SGWs)

Indexed keywords

EID: 85008047883     PISSN: 10834419     EISSN: 19410492     Source Type: Journal    
DOI: 10.1109/TSMCB.2008.2011646     Document Type: Article

References (19)

1. E. Brannock and M. Weeks, “A synopsis of recent work in edge detection using the DWT,” in Proc. IEEE Southeastcon, 2008, pp. 515–520.
2. Y. P. Guan, “Automatic extraction of lips based on multi-scale wavelet edge detection,” Comput. Vis., vol. 2, no. 1, pp. 23–33, Mar. 2008.
3. A. C. Bovik, M. Clark, and W. S. Geisler, “Multichannel texture analysis using localized spatial filters,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 12, no. 1, pp. 55–73, Jan. 1990.
4. B. S. Manjunath and W. Y. Ma, “Texture features for browsing and retrieval of image data,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 18, no. 8, pp. 837–842, Aug. 1996.
5. H. Cheng, N. Zheng, and C. Sun, “Boosted Gabor features applied to vehicle detection,” in Proc. 18th Int. Conf. Pattern Recog., 2006, vol. 1, pp. 662–666.
6. M. Valstar and M. Pantic, “Fully automatic facial action unit detection and temporal analysis,” in Proc. IEEE Conf. CVPRW, Jun. 2006, p. 149.
7. X. Xie and K. M. Lam, “Gabor-based kernel PCA with doubly nonlinear mapping for face recognition with a single face image,” IEEE Trans. Image Process., vol. 15, no. 9, pp. 2481–2492, Sep. 2006.
8. E. Painkras and C. Charoensak, “A framework for the design and implementation of a dynamic face tracking system,” in Proc. IEEE TENCON, Nov. 2005, pp. 1–6.
9. S. Dubuisson, “An adaptive clustering for multiple object tracking in sequences in and beyond the visible spectrum,” in Proc. IEEE Conf. CVPRW, Jun. 2006, p. 142.
10. D. Tao, X. Li, S. J. Maybank, and X. Wu, “Human carrying status in visual surveillance,” in Proc. IEEE Comput. Soc. Conf. CVPR, 2006, vol. 2, pp. 1670–1677.
11. R. Mehrotra, K. R. Namuduri, and N. Ranganthan, “Gabor filter-based edge detection,” Pattern Recognit., vol. 25, no. 12, pp. 1479–1494, Dec. 1992.
12. F. Pellegrino, W. Vanzella, and V. Torre, “Edge detection revisited,” IEEE Trans. Syst., Man, Cybern., vol. 34, no. 3, pp. 1500–1518, Jun. 2004.
13. W. P. Choi, S. H. Tse, K. W. Wong, and K. M. Lam, “Simplified Gabor wavelets for human face recognition,” Pattern Recognit., vol. 41, no. 3, pp. 1186–1199, Mar. 2008.
14. S. Sardy, “Minimax threshold for denoising complex signals with waveshrink,” IEEE Trans. Signal Process., vol. 48, no. 4, pp. 1023–1028, Apr. 2000.
15. D. Donoho and I. M. Johnstone, Ideal Spatial Adaptation by Wavelet Shrinkage. Stanford, CA: Dept. Statist., Stanford Univ., Apr. 1993.
16. J. Canny, “A computational approach to edge detection,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 1–8, no. 6, pp. 679–698, Nov. 1986.
17. D. Wang, V. Haese-Coat, A. Bruno, and J. Ronsin, “Some statistical properties of mathematical morphology,” IEEE Trans. Signal Process., vol. 43, no. 8, pp. 1955–1965, Aug. 1995.
18. K. Bowyer, C. Kranenburg, and S. Dougherty, “Edge detector evaluation using empirical ROC curves,” Comput. Vis. Image Underst., vol. 84, no. 1, pp. 77–103, Oct. 2001.
19. K. Woods and K. W. Bowyer, “Generating ROC curves for artificial neural networks,” IEEE Trans. Med. Imag., vol. 16, no. 3, pp. 329–337, Jun. 1997.