Adaptive region-based image fusion using energy evaluation model for fusion decision

Signal, Image and Video Processing

Volumn 1, Issue 3, 2007, Pages 215-223

  Zhang, Yingjie ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Energy function; Image fusion; Region based fusion; Segmentation

Indexed keywords

EID: 38149010505     PISSN: 18631703     EISSN: 18631711     Source Type: Journal    
DOI: 10.1007/s11760-007-0015-6     Document Type: Article

References (19)

1. Liu J.G. (2000). Smoothing filter-based modulation: a spectral preserve image fusion technique for improving spatial details. Int. J. Remote Sens. 21(18): 3461-3472
2. Mouat D.A., Mahin G.G. and Lancaster J. (1993). Remote sensing techniques in the analysis of change detection. Geocarto Int. 2: 39-50
3. Mallat S. (1998). A wavelet tour of signal processing. Academic, London
4. Claypoole R.L., Davis G.M. and Baraniuk R.G. (2003). Nonlinear wavelet transforms for image coding via lifting. IEEE Trans. Image Process. 12(2): 1449-1459
5. Klein L. (1999). Sensor and data fusion concepts and applications. SPIE, Bellingham
6. Lewis, J.J., O'Callaghan, R.J., et al.: Region-based image fusion using complex wavelets. Proceedings of the 7th International Conference on Information Fusion, Stockholm, pp. 555-562, (2004)
7. Yang, J., Blum, R.S.: A region-based image fusion method using the expectation-maximization algorithm. Proceedings of the Conference on Information Sciences and Systems (CISS), Princeton (2006)
8. Petrovic V.S. and Xydeas C.S. (2003). Sensor noise effects on signal-level image fusion performance. Inf. Fusion 4: 167-183
9. Weickert, J.: A review of nonlinear diffusion filtering. Scale space theory in computer vision, LNCS 1252. Springer, Berlin, pp. 3-28 (1997)
10. You Y. and Xu W. (1996). A. Tannenbaum, M. Kaveh, Behavioral analysis of anisotropic diffusion in image processing. IEEE Trans. Image Process 5(11): 1539-1553
11. Rudin L., Osher S. and Fatemi E. (1992). Nonlinear total variation based noise removal algorithms. Physica 60: 259-268
12. Chan T.F. and Vese L.A. (2001). Active contours without edges. IEEE Trans. Image Process. 10(2): 266-277
13. Chan, T.F., Vese, L.A.: A level set algorithm for minimizing the Mumford-Shah functional in image processing. In: Proceedings of the First IEEE Workshop on Variational and Level Set Methods in Computer Vision, pp. 161-168 (2001)
14. Mumford D. and Shah J. (1989). Optimal approximations by piecewise smooth functions and associated variational problems. Comm. Pure Appl. Math. 42(5): 577-685
15. Zhang, Z., Blum, R.: Region-based image fusion scheme for concealed weapon detection. In: Proceedings of the 31st Annual Conference on Information Sciences and Systems pp. 168-173 (1997)
16. Piella, G.: A region-based multi-resolution image fusion algorithm. In: ISIF Fusion conference, Annapolis, USA, pp. 1557-1564 (2002)
17. Kim, S., Lim, H.: Method of background subtraction for medical image segmentation. In: Proceedings of the 3rd International Conference on Cybernetics and Information Technologies, Systems and Applications, pp. 87-91 (2006)
18. Zhang, Y.J., Ge, L.L.: Automatic generation of initial contour for image segmentation approaches using curve evolving. Electron Lett Comput Vis Image Anal (Accepted and to appear)
19. Perona P. and Malik J. (1990). Scale-space and edge detection using anisotropic diffusion. IEEE Trans Pattern Anal Mach Intell 12(7): 629-639