A novel edge detection algorithm based on global minimization active contour model for oil slick infrared aerial image

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 6 PART 1, 2011, Pages 2005-2013

  Jing, Yu ^a   An, Jubai ^a   Liu, Zhaoxia ^a  

^a DALIAN MARITIME UNIVERSITY   (China)

Author keywords

Dual formulation; edge detection; global minimization active contour (GMAC); intensity inhomogeneity; region scalable fitting (RSF) concept

Indexed keywords

ACTIVE CONTOUR MODEL; ACTIVE CONTOURS; AERIAL IMAGES; DUAL FORMULATIONS; EDGE DETECTION ALGORITHMS; EDGE DETECTION METHODS; EDGE EXTRACTION; ENERGY FUNCTIONS; GLOBAL MINIMIZATION; GLOBAL MINIMIZATION ACTIVE CONTOUR (GMAC); GRADIENT DESCENT METHOD; HIGH NOISE; INITIAL POSITION; INTENSITY INHOMOGENEITY; IR IMAGES; LEVEL SET; LOCAL MINIMUMS; NOVEL ALGORITHM; NUMERICAL MINIMIZATION; OBJECT BOUNDARIES; OIL SLICKS; OTHER ALGORITHMS; REGION-SCALABLE FITTING (RSF) CONCEPT; WEAK EDGE;

ALGORITHMS; INFRARED IMAGING; NUMERICAL METHODS; OIL SPILLS;

EDGE DETECTION;

AERIAL PHOTOGRAPH; ALGORITHM; CONTOUR MAP; INHOMOGENEITY; NUMERICAL MODEL; OIL SPILL; SYNTHETIC APERTURE RADAR;

EID: 79957654719     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2010.2103671     Document Type: Article

References (31)

1. W. Y. Tseng and L. S. Chiu, "AVHRR observations of Persian Gulf oil spills," in Proc. IGARSS, 1994, vol. 2, pp. 779-782.
2. G. Y. Zhang, P. Yan, L. Z. Zhao, R. Li, and C.W. Sha, "Analytical study on flow process of floating-oil recovery device from oil-contaminated seawater by myd method," J. Hydrodynamics Ser. B, vol. 19, no. 2, pp. 195-200, 2007.
3. A. H. S. Solberg, C. Brekke, and P. O. Husøy, "Oil spill detection in Radarsat and Envisat SAR images," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 3, pp. 746-755, Mar. 2007.
4. J. B. An, "Combining fuzzy theory and a genetic algorithm for satellite image edge detection," Int. J. Remote Sens., vol. 27, no. 12-14, pp. 3013- 3024, 2006.
5. J. F. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-8, no. 6, pp. 679-698, Nov. 1986.
6. J. Portilla, V. Strela, M. J. Wainwright, and E. P. Simoncelli, "Image denoising using scale mixtures of Gaussians in the wavelet domain," IEEE Trans. Image Process., vol. 12, no. 11, pp. 1338-1351, Nov. 2003.
7. I. Gijbels, A. Lambert, and P. Qiu, "Edge-preserving image denoising and estimation of discontinuous surfaces," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 7, pp. 1075-1087, Jul. 2006.
8. Z. H. Wang and F. C. Wu, "Inertial product energy and edge detection," Chin. J. Comput., vol. 32, no. 11, pp. 2211-2220, 2009.
9. Y. Jing, J. B. An, and L. Li, "The edge detection of oil spills image using self-adaptive dynamic block threshold algorithm based on non-maximal suppression," in Proc. 2nd CISP, Oct. 2009, vol. 2, pp. 618-622.
10. Z. J. Wang and H. Zhang, "Edge linking using geodesic distance and neighborhood information," in Proc. AIM, Xi'an, China, Jul. 2-5, 2008, pp. 151-155.
11. A. Hajjar and T. Chen, "A VLSI architecture for real-time edge linking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 21, no. 1, pp. 89-94, Jan. 1999.
12. L. Fang, J. J. Lu, and Y. T. Ye, "New method for edge detection of infrared images based on Mumford-Shah model," (in Chinese), High Power Laser Part. Beams, vol. 19, no. 4, Apr. 2007.
13. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE. Trans. Pattern Anal. Mach. Intell., vol. 12, no. 7, pp. 629-639, Jul. 1990. (Pubitemid 20726016)
14. H. Kim, H. Yoon, T. K. Nguyen, and G. Lee, "Automatic lung segmentation in CT images using anisotropic diffusion and morphology operation," in Proc. CIT, Oct. 2007, pp. 557-561.
15. H. S. Kim and Y. J. Cho, "Anisotropic diffusion for preserving boundaryedge," in Proc. 12th ICACT, Feb. 2010, vol. 2, pp. 1693-1698.
16. J. Wu, J. Li, J. Liu, and J. Tian, "Infrared image segmentation via fast fuzzy c-means with spatial information," in Proc. ROBIO, Shenyang, China, Aug. 2004, pp. 742-745. (Pubitemid 41718705)
17. N. Scales, C. Kerry, and M. Prize, "Automated image segmentation for breast analysis using infrared images," in Proc. IEMBS, San Francisco, CA, 2004, pp. 1737-1740. (Pubitemid 40035738)
18. T. Kanaa, E. Tonye, and J. Ngono, "Detection of oil slick signatures in SAR images by fusion of hysteresis thresholding responses," in Proc. Int. Geosci. Remote Sens. Symp., 2003, vol. 4, pp. 2750-2752.
19. S. Y. Wu and A. K. Liu, "Towards an automated ocean feature detection, extraction and classification scheme for SAR imagery," Int. J. Remote Sens., vol. 24, no. 5, pp. 935-951, 2003. (Pubitemid 36421216)
20. F. Galland, P. Refregier, and O. Germain, "Synthetic aperture radar oil spill segmentation by stochastic complexity minimization," IEEE Geosci. Remote Sens. Lett., vol. 1, no. 4, pp. 295-299, Oct. 2004.
21. K. Karantzalos and D. Argialas, "Automatic detection and tracking of oil spills in SAR imagery with level set segmentation," Int. J. Remote Sens., vol. 29, no. 21, pp. 6281-6296, Nov. 2008.
22. C. Li, C. Kao, and J. Gore, "Minimization of region-scalable fitting energy for image segmentation," IEEE Trans. Image Process., vol. 17, no. 10, pp. 1940-1949, Oct. 2008.
23. K. H. Zhang, H. Song, and L. Zhang, "Active contours driven by local image fitting energy," Pattern Recognit., vol. 43, no. 4, pp. 1199-1206, Apr. 2010.
24. T. Chan and L. Vese, "Active contours without edges," IEEE Trans. Image Process., vol. 10, no. 2, pp. 266-277, Feb. 2001. (Pubitemid 32254596)
25. C. Li, C. Xu, C. Gui, and M. D. Fox, "Level set evolution without re-initialization: A new variational formulation," in Proc. CVPR, 2005, vol. 1, pp. 430-436.
26. C. Li, C. Kao, J. Gore, and Z. Ding, "Implicit active contours driven by local binary fitting energy," in Proc. CVPR, 2007, pp. 1-7.
27. T. Chan, "Algorithms for finding global minimizes of image segmentation and denoising models," SIAM J. Appl. Math., vol. 66, no. 5, pp. 1632- 1648, 2006. (Pubitemid 44599935)
28. G. Aubert and P. Kornprobst, Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations. New York: Springer-Verlag, 2002.
29. X. Bresson and T. Chan, "Fast dual minimization of the vectorial total variation norm and applications to color image processing," Inverse Probl. Imaging, vol. 2, no. 4, pp. 455-484, 2008.
30. A. Chambolle, "An algorithm for total variation minimization and applications," J. Math. Imaging Vis., vol. 20, no. 1/2, pp. 89-97, Jan.-Mar. 2004.
31. J. F. Aujol and A. Chambolle, "Dual norms and image decomposition models," Int. J. Comput. Vis., vol. 63, no. 1, pp. 85-104, Jun. 2005. (Pubitemid 40356832)